Internet of Everything
This book constitutes the refereed post-conference proceedings of the Second International Conference on Internet of Everything, IoECon 2023, which took place in Guimar瓊es, Portugal, in September 2023. IoECon 2023 presents IoT paradigms to their whole dimension, intelligently connecting devices, people, processes, data, and things. IoE is multi-disciplinary and offers an opportunity to explore the co-relations between different areas, techniques, and theories about a new cyber world. The 11 revised full papers were carefully reviewed and selected from 38 submissions. The papers focus on a complete ecosystem that digitally interconnects everything, including people-to-people, people to-machines, and machines-to-machines.
Computer Science and Educational Informatization
These two volumes constitute the revised selected papers of the 5th International Conference, CSEI 2023, held in Kunming, China, during August 11-13, 2023.The 76 full papers and the 21 short papers included in this volume were carefully reviewed and selected from 297 submissions. They focus on computer science, education informatization and engineering education, innovative application for the deeper integration of education practice and information technology, educational informatization and big data for education.
Accountable and Explainable Methods for Complex Reasoning Over Text
This thesis presents research that expands the collective knowledge in the areas of accountability and transparency of machine learning (ML) models developed for complex reasoning tasks over text. In particular, the presented results facilitate the analysis of the reasons behind the outputs of ML models and assist in detecting and correcting for potential harms. It presents two new methods for accountable ML models; advances the state of the art with methods generating textual explanations that are further improved to be fluent, easy to read, and to contain logically connected multi-chain arguments; and makes substantial contributions in the area of diagnostics for explainability approaches. All results are empirically tested on complex reasoning tasks over text, including fact checking, question answering, and natural language inference. This book is a revised version of the PhD dissertation written by the author to receive her PhD from the Faculty of Science, University ofCopenhagen, Denmark. In 2023, it won the Informatics Europe Best Dissertation Award, granted to the most outstanding European PhD thesis in the field of computer science.
Computer Science and Educational Informatization
These two volumes constitute the revised selected papers of the 5th International Conference, CSEI 2023, held in Kunming, China, during August 11-13, 2023.The 76 full papers and the 21 short papers included in this volume were carefully reviewed and selected from 297 submissions. They focus on computer science, education informatization and engineering education, innovative application for the deeper integration of education practice and information technology, educational informatization and big data for education.
Learn Grafana 10.x - Second Edition
Get up and running with building data pipelines and creating interactive dashboards to visualize, monitor, and present a wide variety of time-series data with this comprehensive introductory guideKey FeaturesInstall, set up, and configure Grafana for real-time data analysis, visualization, and alertingVisualize and monitor data using data sources such as InfluxDB, Telegraf, Prometheus, and ElasticsearchExplore Grafana's cloud support with Microsoft Azure, Amazon CloudWatch, and Google Cloud MonitoringPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionGet ready to unlock the full potential of the open-source Grafana observability platform, ideal for analyzing and monitoring time-series data with this updated second edition. This beginners guide will help you get up to speed with Grafana's latest features for querying, visualizing, and exploring logs and metrics, no matter where they are stored.Starting with the basics, this book demonstrates how to quickly install and set up a Grafana server using Docker. You'll then be introduced to the main components of the Grafana interface before learning how to analyze and visualize data from sources such as InfluxDB, Telegraf, Prometheus, Logstash, and Elasticsearch. The book extensively covers key panel visualizations in Grafana, including Time Series, Stat, Table, Bar Gauge, and Text, and guides you in using Python to pipeline data, transformations to facilitate analytics, and templating to build dynamic dashboards. Exploring real-time data streaming with Telegraf, Promtail, and Loki, you'll work with observability features like alerting rules and integration with PagerDuty and Slack. As you progress, the book addresses the administrative aspects of Grafana, from configuring users and organizations to implementing user authentication with Okta and LDAP, as well as organizing dashboards into folders, and more. By the end of this book, you'll have gained all the knowledge you need to start building interactive dashboards.What you will learnLearn the techniques of data visualization using GrafanaGet familiar with the major components of Time series visualizationExplore data transformation operations, query inspector, and time interval settingsWork with advanced dashboard features, such as annotations, variable-based templating, and dashboard linking and sharingConnect user authentication through Okta, Google, GitHub, and other external providersDiscover Grafana's monitoring support for cloud service infrastructuresWho this book is forThis book is for business intelligence developers, business analysts, data analysts, and anyone interested in performing time-series data analysis and monitoring using Grafana. You'll also find this book useful if you're looking to create and share interactive dashboards or get up to speed with the latest features of Grafana. Although no prior knowledge of Grafana is required, basic knowledge of data visualization and some Python programming experience will help you understand the concepts covered in the book.Table of ContentsIntroducing Data Visualization with GrafanaTouring the Grafana InterfaceDiving into Grafana's Time Series VisualizationConnecting Grafana to a Prometheus Data SourceExtracting and Visualizing Data with InfluxDB and GrafanaShaping Data with Grafana TransformationsSurveying Key Grafana VisualizationsSurveying Additional Grafana VisualizationsCreating Insightful DashboardsWorking with Advanced Dashboard Features and Elasticsearch(N.B. Please use the Look Inside option to see further chapters)
Data Exploration and Preparation with BigQuery
Leverage BigQuery to understand and prepare your data to ensure that it's accurate, reliable, and ready for analysis and modelingKey FeaturesUse mock datasets to explore data with the BigQuery web UI, bq CLI, and BigQuery API in the Cloud consoleMaster optimization techniques for storage and query performance in BigQueryEngage with case studies on data exploration and preparation for advertising, transportation, and customer support dataPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionData professionals encounter a multitude of challenges such as handling large volumes of data, dealing with data silos, and the lack of appropriate tools. Datasets often arrive in different conditions and formats, demanding considerable time from analysts, engineers, and scientists to process and uncover insights. The complexity of the data life cycle often hinders teams and organizations from extracting the desired value from their data assets. Data Exploration and Preparation with BigQuery offers a holistic solution to these challenges.The book begins with the basics of BigQuery while covering the fundamentals of data exploration and preparation. It then progresses to demonstrate how to use BigQuery for these tasks and explores the array of big data tools at your disposal within the Google Cloud ecosystem.The book doesn't merely offer theoretical insights; it's a hands-on companion that walks you through properly structuring your tables for query efficiency and ensures adherence to data preparation best practices. You'll also learn when to use Dataflow, BigQuery, and Dataprep for ETL and ELT workflows. The book will skillfully guide you through various case studies, demonstrating how BigQuery can be used to solve real-world data problems.By the end of this book, you'll have mastered the use of SQL to explore and prepare datasets in BigQuery, unlocking deeper insights from data.What you will learnAssess the quality of a dataset and learn best practices for data cleansingPrepare data for analysis, visualization, and machine learningExplore approaches to data visualization in BigQueryApply acquired knowledge to real-life scenarios and design patternsSet up and organize BigQuery resourcesUse SQL and other tools to navigate datasetsImplement best practices to query BigQuery datasetsGain proficiency in using data preparation tools, techniques, and strategiesWho this book is forThis book is for data analysts seeking to enhance their data exploration and preparation skills using BigQuery. It guides anyone using BigQuery as a data warehouse to extract business insights from large datasets. A basic understanding of SQL, reporting, data modeling, and transformations will assist with understanding the topics covered in this book.Table of ContentsIntroducing BigQuery and Its ComponentsBigQuery Organization and DesignExploring Data in BigQueryLoading and Transforming DataQuerying BigQuery DataExploring Data with NotebooksFurther Exploring and Visualizing DataAn Overview of Data Preparation ToolsCleansing and Transforming DataBest Practices for Data Preparation, Optimization, and Cost ControlHands-On Exercise - Analyzing Advertising DataHands-On Exercise Analyzing Transportation DataHands-On Exercise - Analyzing Customer Support DataSummary and Future Directions
The Book of Chatbots
Primitive software chatbots emerged in the 1960s, evolving swiftly through the decades and becoming able to provide engaging human-to-computer interactions sometime in the 1990s. Today, conversational technology is ubiquitous in many homes. Paired with web-searching abilities and neural networking, modern chatbots are capable of many tasks and are a major driving force behind machine learning and the quest for strong artificial intelligence, also known as artificial general intelligence (AGI).Sophisticated artificial intelligence is changing the online world as advanced software chatbots can provide customer service, research duties, and assist in healthcare. Modern chatbots have indeed numerous applications - including those of a malicious nature. They can write our essays, conduct autonomous scams, and potentially influence politics.The Book of Chatbots is both a retrospective and a review of current artificial intelligence-driven conversational solutions. It explores their appeal to businesses and individuals as well as their greater social aspects, including the impact on academia. The book explains all relevant concepts for readers with no previous knowledge in these topics. Unearthing the secrets of virtual assistants such as the (in)famous ChatGPT and many other exciting technologies, The Book of Chatbots is meant for anyone interested in the topic, laypeople and IT-enthusiasts alike.
Alteryx Designer: The Definitive Guide
Analytics projects are frequently long, drawn-out affairs, requiring multiple teams and skills to clean, join, and eventually turn data into analysis for timely decision-making. Alteryx Designer changes all of that. With this low-code, self-service, drag-and-drop workflow platform, new and experienced data and business analysts can deliver results in hours instead of weeks. This practical book shows you how to master all areas of Alteryx Designer quickly. Author and Alteryx ACE Joshua Burkhow starts with the basics of building a workflow, then introduces more than 200 tools for working with intermediate and advanced analytics functionality. With Alteryx Designer's all-in-one toolkit, you'll migrate from legacy analytics software or Excel with ease. Ready to work with data quickly and efficiently? This guide gets you started. Learn the fundamentals of cleaning, prepping, and analyzing data with Alteryx Designer Install, navigate, and quickly become competent with the Alteryx Designer layout and functionality Construct accurate, performant, reliable, and well-documented workflows that automate business processes Learn intermediate techniques using spatial analytics, reporting, and in-database tools Dive into advanced Alteryx capabilities, including predictive and machine learning tools Get introduced to the entire Alteryx Analytic Process Automation (APA) Platform
Google Cloud Platform for Data Science
This book is your practical and comprehensive guide to learning Google Cloud Platform (GCP) for data science, using only the free tier services offered by the platform.Data science and machine learning are increasingly becoming critical to businesses of all sizes, and the cloud provides a powerful platform for these applications. GCP offers a range of data science services that can be used to store, process, and analyze large datasets, and train and deploy machine learning models.The book is organized into seven chapters covering various topics such as GCP account setup, Google Colaboratory, Big Data and Machine Learning, Data Visualization and Business Intelligence, Data Processing and Transformation, Data Analytics and Storage, and Advanced Topics. Each chapter provides step-by-step instructions and examples illustrating how to use GCP services for data science and big data projects.Readers will learn how to set up a Google Colaboratory account and run Jupyternotebooks, access GCP services and data from Colaboratory, use BigQuery for data analytics, and deploy machine learning models using Vertex AI. The book also covers how to visualize data using Looker Data Studio, run data processing pipelines using Google Cloud Dataflow and Dataprep, and store data using Google Cloud Storage and SQL.What You Will LearnSet up a GCP account and projectExplore BigQuery and its use cases, including machine learningUnderstand Google Cloud AI Platform and its capabilities Use Vertex AI for training and deploying machine learning modelsExplore Google Cloud Dataproc and its use cases for big data processingCreate and share data visualizations and reports with Looker Data StudioExplore Google Cloud Dataflow and its use cases for batch and stream data processing Run data processing pipelines on Cloud DataflowExplore Google Cloud Storageand its use cases for data storage Get an introduction to Google Cloud SQL and its use cases for relational databases Get an introduction to Google Cloud Pub/Sub and its use cases for real-time data streamingWho This Book Is ForData scientists, machine learning engineers, and analysts who want to learn how to use Google Cloud Platform (GCP) for their data science and big data projects
Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications
This book constitutes the proceedings of the 10th International Conference on Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications, FDSE 2023, held in Da Nang, Vietnam, during November 22-24, 2023.The 38 full papers and 8 short papers were carefully reviewed and selected from 135 submissions. They were organized in topical sections as follows: big data analytics and distributed systems; security and privacy engineering; machine learning and artificial intelligence for security and privacy; smart city and industry 4.0 applications; data analytics and healthcare systems; and short papers: security and data engineering.
Intelligent Data Engineering and Automated Learning - Ideal 2023
This book constitutes the proceedings of the 24th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2023, held in ?vora, Portugal, during November 22-24, 2023.The 45 full papers and 4 short papers presented in this book were carefully reviewed and selected from 77 submissions. IDEAL 2023 is focusing on big data challenges, machine learning, deep learning, data mining, information retrieval and management, bio-/neuro-informatics, bio-inspired models, agents and hybrid intelligent systems, and real-world applications of intelligence techniques and AI.The papers are organized in the following topical sections: main track; special session on federated learning and (pre) aggregation in machine learning; special session on intelligent techniques for real-world applications of renewable energy and green transport; and special session on data selection in machine learning.
Visualization- Based Manifestation
Ever wonder why some people seem to have no trouble realising their aspirations while others find it difficult to advance? Unlocking your latent potential and enabling you to materialise your desires and change your life is what "The Art of Creative Visualisation: Manifesting Your Dreams" is all about.The Ability to Visualise See how visualisation may change your world and its transforming power. Find out how your inner flame of manifestation can be sparked by creative visualisation.How to Interpret Creative Visualisation Learn the fundamentals and methods of creative visualisation and discover how your goals and thoughts can come to pass in the actual world.Clarifying One's Intentions Learn how to create clear, motivating intentions that form the cornerstone of your ambitions. The secret to focused manifestation is having clear intentions.How to Make a Bright Vision Board Make a vivid and captivating vision board to help you visualise your dreams. You can use your vision board as a daily reminder of your ambitions and goals.Using the Law of Attraction in Your Favour Explore the Law of Attraction and discover how to bring your desires into your life by bringing your thoughts, feelings, and behaviours into alignment with them.Developing a Robust Belief Framework Develop a steadfast faith in your capacity to bring your dreams to life. Examine methods for boosting your confidence and eradicating self-doubt.Developing an Upbeat Attitude Develop a powerful, upbeat mindset that aligns with your goals. Modify your attitudes, ideas, and beliefs to aid in your manifesting process.Making Use of Daily Affirmations See how daily affirmations can help you rewire your subconscious. Make use of these inspiring quotes to help you stay committed to your dreams.Making Use of Guided Imagery Methods Learn how to use guided imagery to increase the likelihood that your intended outcomes will materialise by developing a vivid sense of vision and sensation.
Current Trends in Web Engineering
This volume constitutes the papers of several workshops which were held in conjunction with the International Conference on Web Engineering, ICWE 2023, held in Alicante, Spain, in June 6-9, 2023.The 10 revised full papers and 2 short papers presented in this book were carefully reviewed and selected from 23 submissions. They stem from the following workshops: Third International Workshop on Big Data Driven Edge Cloud Services (BECS 2023) Second International Workshop on the Semantic Web of Everything (SWEET 2023) Second International Workshop on Web Applications for Life Sciences (WALS2023)
Dynamics of Information Systems
This book constitutes the proceedings of the 6th International Conference on Dynamics of Information Systems, DIS 2023, which took place in Prague, Czech Republic, in September 2023. The 18 full papers included in the book were carefully reviewed and selected from 43 submissions. They deal with topics ranging from theoretical, algorithmic, and practical perspectives in information systems, to offering readers valuable information, theories and techniques.
Advanced Hybrid Information Processing
This four-volume set constitutes the post-conference proceedings of the 7th EAI International Conference on Advanced Hybrid Information Processing, ADHIP 2023, held in Harbin, China, during September 22-24, 2023. The 108 full papers presented were selected from 270 submissions and focus on theory and application of hybrid information processing technology for smarter and more effective research and application. The theme of ADHIP 2022 was Hybrid Information Processing in Meta World. The papers are named in topical sections as follows: wireless communication for social information processing, artificial intelligence technology; Mobile education, mobile monitoring, behavior understanding and object tracking; wireless networks for social information processing, image information processing; mobile monitoring, civilian audio and acoustic signal processing.
Advanced Hybrid Information Processing
This four-volume set constitutes the post-conference proceedings of the 7th EAI International Conference on Advanced Hybrid Information Processing, ADHIP 2023, held in Harbin, China, during September 22-24, 2023. The 108 full papers presented were selected from 270 submissions and focus on theory and application of hybrid information processing technology for smarter and more effective research and application. The theme of ADHIP 2022 was Hybrid Information Processing in Meta World. The papers are named in topical sections as follows: wireless communication for social information processing, artificial intelligence technology; Mobile education, mobile monitoring, behavior understanding and object tracking; wireless networks for social information processing, image information processing; mobile monitoring, civilian audio and acoustic signal processing.
Advanced Hybrid Information Processing
This four-volume set constitutes the post-conference proceedings of the 7th EAI International Conference on Advanced Hybrid Information Processing, ADHIP 2023, held in Harbin, China, during September 22-24, 2023. The 108 full papers presented were selected from 270 submissions and focus on theory and application of hybrid information processing technology for smarter and more effective research and application. The theme of ADHIP 2022 was Hybrid Information Processing in Meta World. The papers are named in topical sections as follows: wireless communication for social information processing, artificial intelligence technology; Mobile education, mobile monitoring, behavior understanding and object tracking; wireless networks for social information processing, image information processing; mobile monitoring, civilian audio and acoustic signal processing.
Advanced Hybrid Information Processing
This four-volume set constitutes the post-conference proceedings of the 7th EAI International Conference on Advanced Hybrid Information Processing, ADHIP 2023, held in Harbin, China, during September 22-24, 2023. The 108 full papers presented were selected from 270 submissions and focus on theory and application of hybrid information processing technology for smarter and more effective research and application. The theme of ADHIP 2022 was Hybrid Information Processing in Meta World. The papers are named in topical sections as follows: wireless communication for social information processing, artificial intelligence technology; Mobile education, mobile monitoring, behavior understanding and object tracking; wireless networks for social information processing, image information processing; mobile monitoring, civilian audio and acoustic signal processing.
Real-Time Database Systems
This book provides an overview of both experimental and commercial real-time database systems (RTDBs) and a systematic approach to understanding, designing, and implementing them. To this end, the book is composed of four chapters: Chapter 1 "An Overview of Real-Time Database Systems" delves into the realm of RTDBs and discusses the specific requirements, transaction models, and scheduling algorithms that set RTDBs apart from conventional DBMs. Chapter 2 on "Experimental Real-Time Databases" presents various experimental RTDBs developed in academia with their architectures, features, and implementations, while chapter 3 on "Commercial Real-Time Databases" does so for systems developed and offered by commercial vendors as products or services. Eventually, chapter 4 on "Applications of Real-Time Database Systems" showcases various applications of RTDBs across different domains. This book will help researchers, graduate students and advanced professionals to get anoverview of the area and to understand the main challenges and systems available.
Machine Learning and Data Algorithms
The general format of this book is I'll start with each concept, explaining it in a bunch of sections and graphical examples. I will introduce you to some of the notations and fancy terminologies that data scientists like to use so you can talk the same language, but the concepts themselves are generally pretty simple. After that, I'll throw you into some actual Python code that actually works that we can run and mess around with, and that will show you how to actually apply these ideas to actual data.
Autodesk Vault 2024 for Inventor and AutoCAD Users
Autodesk(R) Vault Professional 2024 for Inventor(R) and AutoCAD(R) Users introduces the Autodesk Vault 2024 software (Basic and Professional) to users. The guide is intended for Autodesk CAD users who need to access their design files from the Autodesk Vault software. It provides an introduction to the Autodesk Vault software and focuses specifically on features available to end-users for working with and managing Inventor and AutoCAD designs. You can use the Autodesk Vault 2024 software and the desired Autodesk CAD 2024 software (such as Inventor or AutoCAD) to complete the practices in this guide. Note that this guide does not cover administrative functionality. Hands-on practices are included to reinforce how to manage the design workflow process using the Autodesk Vault software. Included with this guide is a training Vault that can be used alongside a production Vault, to ensure that both Vaults can be accessed from the Autodesk Vault software. Topics CoveredIntroduction to Autodesk Vault featuresUsing Autodesk Vault ClientWorking with non-CAD filesWorking with Inventor filesWorking with AutoCAD filesSearching the VaultData management and reusing design dataItems and Bill of Materials managementChange managementCustomizing the user interface PrerequisitesAccess to the 2024.0 version of the software, to ensure compatibility with this guide. Future software updates that are released by Autodesk may include changes that are not reflected in this guide. The practices and files included with this guide might not be compatible with prior versions (e.g., 2022).Basic working knowledge of the Autodesk CAD software such as Inventor and AutoCAD.
Transfer, Diffusion and Adoption of Next-Generation Digital Technologies
This book constitutes the refereed proceedings of the IFIP WG 8.6 International Working Conference on Transfer and Diffusion of IT, TDIT 2023, which took place in Nagpur, India, in December 2023. The 87 full papers and 23 short papers presented in these proceedings were carefully reviewed and selected from 209 submissions. The papers are organized in the following topical sections: Volume I: Digital technologies (artificial intelligence) adoption; digital platforms and applications; digital technologies in e-governance; metaverse and marketing.Volume II: Emerging technologies adoption; general IT adoption; healthcare IT adoption.Volume III: Industry 4.0; transfer, diffusion and adoption of next-generation digital technologies; diffusion and adoption of information technology.
Advances in Computer Graphics
This 4-volume set of LNCS 14495-14498 constitutes the proceedings of the 40th Computer Graphics International Conference, CGI 2023, held in Shanghai, China, August 28 - September 1, 2023. The 149 papers in this set were carefully reviewed and selected from 385 submissions. They are organized in topical sections as follows: Detection and Recognition; Image Analysis and Processing; Image Restoration and Enhancement; Image Attention and Perception; Reconstruction; Rendering and Animation; Synthesis and Generation; Visual Analytics and Modeling; Graphics and AR/VR; Medical Imaging and Robotics; Theoretical Analysis; Image Analysis and Visualization in Advanced Medical Imaging Technology; Empowering Novel Geometric Algebra for Graphics and Engineering.
Artificial Intelligence
This two-volume set LNAI 14473-14474 constitutes revised selected papers presented at the Third CAAI International Conference, CICAI 2023, in Fuzhou, China, in July 2023. CICAI is a summit forum in the field of artificial intelligence and the 2023 forum was hosted by Chinese Association for Artificial Intelligence (CAAI). The 100 papers were thoroughly reviewed and selected from 376 submissions. CICAI 2023 conference covers a wide range of of AI generated content, computer vision, machine learning, nature language processing, application of AI, and data mining, amongst others.
Advances in Computer Graphics
This 4-volume set of LNCS 14495-14498 constitutes the proceedings of the 40th Computer Graphics International Conference, CGI 2023, held in Shanghai, China, August 28 - September 1, 2023. The 149 papers in this set were carefully reviewed and selected from 385 submissions. They are organized in topical sections as follows: Detection and Recognition; Image Analysis and Processing; Image Restoration and Enhancement; Image Attention and Perception; Reconstruction; Rendering and Animation; Synthesis and Generation; Visual Analytics and Modeling; Graphics and AR/VR; Medical Imaging and Robotics; Theoretical Analysis; Image Analysis and Visualization in Advanced Medical Imaging Technology; Empowering Novel Geometric Algebra for Graphics and Engineering.
Advances in Computer Graphics
This 4-volume set of LNCS 14495-14498 constitutes the proceedings of the 40th Computer Graphics International Conference, CGI 2023, held in Shanghai, China, August 28 - September 1, 2023. The 149 papers in this set were carefully reviewed and selected from 385 submissions. They are organized in topical sections as follows: Detection and Recognition; Image Analysis and Processing; Image Restoration and Enhancement; Image Attention and Perception; Reconstruction; Rendering and Animation; Synthesis and Generation; Visual Analytics and Modeling; Graphics and AR/VR; Medical Imaging and Robotics; Theoretical Analysis; Image Analysis and Visualization in Advanced Medical Imaging Technology; Empowering Novel Geometric Algebra for Graphics and Engineering.
Data Science Fundamentals with R, Python, and Open Data
Data Science Fundamentals with R, Python, and Open Data Introduction to essential concepts and techniques of the fundamentals of R and Python needed to start data science projects Organized with a strong focus on open data, Data Science Fundamentals with R, Python, and Open Data discusses concepts, techniques, tools, and first steps to carry out data science projects, with a focus on Python and RStudio, reflecting a clear industry trend emerging towards the integration of the two. The text examines intricacies and inconsistencies often found in real data, explaining how to recognize them and guiding readers through possible solutions, and enables readers to handle real data confidently and apply transformations to reorganize, indexing, aggregate, and elaborate. This book is full of reader interactivity, with a companion website hosting supplementary material including datasets used in the examples and complete running code (R scripts and Jupyter notebooks) of all examples. Exam-style questions are implemented and multiple choice questions to support the readers' active learning. Each chapter presents one or more case studies. Written by a highly qualified academic, Data Science Fundamentals with R, Python, and Open Data discuss sample topics such as: Data organization and operations on data frames, covering reading CSV dataset and common errors, and slicing, creating, and deleting columns in R Logical conditions and row selection, covering selection of rows with logical condition and operations on dates, strings, and missing values Pivoting operations and wide form-long form transformations, indexing by groups with multiple variables, and indexing by group and aggregations Conditional statements and iterations, multicolumn functions and operations, data frame joins, and handling data in list/dictionary format Data Science Fundamentals with R, Python, and Open Data is a highly accessible learning resource for students from heterogeneous disciplines where Data Science and quantitative, computational methods are gaining popularity, along with hard sciences not closely related to computer science, and medical fields using stochastic and quantitative models.
Advances in Computer Graphics
This 4-volume set of LNCS 14495-14498 constitutes the proceedings of the 40th Computer Graphics International Conference, CGI 2023, held in Shanghai, China, August 28 - September 1, 2023. The 149 papers in this set were carefully reviewed and selected from 385 submissions. They are organized in topical sections as follows: Detection and Recognition; Image Analysis and Processing; Image Restoration and Enhancement; Image Attention and Perception; Reconstruction; Rendering and Animation; Synthesis and Generation; Visual Analytics and Modeling; Graphics and AR/VR; Medical Imaging and Robotics; Theoretical Analysis; Image Analysis and Visualization in Advanced Medical Imaging Technology; Empowering Novel Geometric Algebra for Graphics and Engineering.
The Geographies of Covid-19
This volume of case studies focuses on the geographies of COVID-19 around the world. These geographies are located in both time and space concentrating on both first- and second-order impacts of the COVID-19 pandemic. First-order impacts are those associated with the immediate response to the pandemic that include tracking number of deaths and cases, testing, access to hospitals, impacts on essential workers, searching for the origins of the virus and preventive treatments such as vaccines and contact tracing. Second-order impacts are the result of actions, practices, and policies in response to the spread of the virus, with longer-term effects on food security, access to health services, loss of livelihoods, evictions, and migration. Further, the COVID-19 pandemic will be prolonged due to the onset of variants as well as setting the stage for similar future events. This volume provides a synopsis of how geography and geospatial approaches are used to understand this event andthe emerging "new normal." The volume's approach is necessarily selective due to the global reach of the pandemic and the broad sweep of second-order impacts where important issues may be left out. However, the book is envisioned as the prelude to an extended conversation about adaptation to complex circumstances using geospatial tools.Using case studies and examples of geospatial analyses, this volume adopts a geographic lens to highlight the differences and commonalities across space and time where fundamental inequities are exposed, the governmental response is varied, and outcomes remain uncertain. This moment of global collective experience starkly reveals how inequality is ubiquitous and vulnerable populations - those unable to access basic needs - are increasing. This place-based approach identifies how geospatial analyses and resulting maps depict the pandemic as it ebbs and flows across the globe. Data-driven decision making is needed as we navigate the pandemic and determine ways to address future such events to enable local and regional governments in prioritizing limited resources to mitigate the long-term consequences of COVID-19.
A Geographer's Guide to Computing Fundamentals
This upper-undergraduate textbook teaches students programming in GIS using a mix of computer science theory and hands-on activities, with the aim of empowering students to understand fundamentals and apply their knowledge beyond the specific examples in the book. Each of the book's twenty-one chapters integrates instructional material with exercises in ArcGIS Pro. In doing so, this book combines the strengths of workbooks and theoretical textbooks to provide a holistic and comprehensive text. Each chapter concludes with an unguided task that ensures students have learned the broader principles explained therein. In addition to its unique format, the book covers oft-neglected topics such as debugging, creating a program from scratch, and managing metadata. Section I starts with the principles of scripting and programming with Python. Section II introduces the ArcPy module and elements specific to ArcGIS Pro. This section focuses on data structures, and how they are used andimplemented within Python. Section III uses the topic of algorithms to guide the student through creating tools to add functionality to ArcGIS Pro. The last section, Section IV, builds upon section III to guide the student to developing and sharing projects and Python packages to include external open-source code and share the Python code as an open-source package. This text will prepare students for a long-term ability to do GIS programming, whether in industry or academic research. This comes from the author's observations of students who have learned GIS programming in one platform, such as VBA in ArcMap, struggle to apply that knowledge to a new platform, such as Python in ArcGIS Pro, because the content was presented too closely with a specific platform. The integration of exercises with conceptual content, along with the choice of chapter content, serves this goal of preparing students for working in a dynamic, rapidly changing technology field.
The Semantic Web - Iswc 2023
This book constitutes the proceedings of the 22nd International Semantic Web Conference, ISWC 2023, which took place in October 2023 in Athens, Greece. The 58 full papers presented in this double volume were thoroughly reviewed and selected from 248 submissions. Many submissions focused on the use of reasoning and query answering, witha number addressing engineering, maintenance, and alignment tasks for ontologies. Likewise, there has been a healthy batch of submissions on search, query, integration, and the analysis of knowledge. Finally, following the growing interest in neuro-symbolic approaches, there has been a rise in the number of studies that focus on the use of Large Language Models and Deep Learning techniques such as Graph Neural Networks.
The Semantic Web - Iswc 2023
This book constitutes the proceedings of the 22nd International Semantic Web Conference, ISWC 2023, which took place in October 2023 in Athens, Greece. The 58 full papers presented in this double volume were thoroughly reviewed and selected from 248 submissions. Many submissions focused on the use of reasoning and query answering, witha number addressing engineering, maintenance, and alignment tasks for ontologies. Likewise, there has been a healthy batch of submissions on search, query, integration, and the analysis of knowledge. Finally, following the growing interest in neuro-symbolic approaches, there has been a rise in the number of studies that focus on the use of Large Language Models and Deep Learning techniques such as Graph Neural Networks.
Practical Machine Learning on Databricks
Take your machine learning skills to the next level by mastering databricks and building robust ML pipeline solutions for future ML innovationsKey Features: Learn to build robust ML pipeline solutions for databricks transitionMaster commonly available features like AutoML and MLflowLeverage data governance and model deployment using MLflow model registryPurchase of the print or Kindle book includes a free PDF eBookBook Description: Unleash the potential of databricks for end-to-end machine learning with this comprehensive guide, tailored for experienced data scientists and developers transitioning from DIY or other cloud platforms. Building on a strong foundation in Python, Practical Machine Learning on Databricks serves as your roadmap from development to production, covering all intermediary steps using the databricks platform.You'll start with an overview of machine learning applications, databricks platform features, and MLflow. Next, you'll dive into data preparation, model selection, and training essentials and discover the power of databricks feature store for precomputing feature tables. You'll also learn to kickstart your projects using databricks AutoML and automate retraining and deployment through databricks workflows.By the end of this book, you'll have mastered MLflow for experiment tracking, collaboration, and advanced use cases like model interpretability and governance. The book is enriched with hands-on example code at every step. While primarily focused on generally available features, the book equips you to easily adapt to future innovations in machine learning, databricks, and MLflow.What You Will Learn: Transition smoothly from DIY setups to databricksMaster AutoML for quick ML experiment setupAutomate model retraining and deploymentLeverage databricks feature store for data prepUse MLflow for effective experiment trackingGain practical insights for scalable ML solutionsFind out how to handle model drifts in production environmentsWho this book is for: This book is for experienced data scientists, engineers, and developers proficient in Python, statistics, and ML lifecycle looking to transition to databricks from DIY clouds. Introductory Spark knowledge is a must to make the most out of this book, however, end-to-end ML workflows will be covered. If you aim to accelerate your machine learning workflows and deploy scalable, robust solutions, this book is an indispensable resource.
Intelligent Transport Systems
This book constitutes the refereed proceedings of the 7th International Conference on Intelligent Transport Systems, INTSYS 2023, held in Molde, Norway, during September 6-7, 2023. With the globalization of trade and transportation and the consequent multi-modal solutions used, additional challenges are faced by organizations and countries. Intelligent Transport Systems make transport safer, more efficient, and more sustainable by applying information and communication technologies to all transportation modes. The 14 full papers included in this book were carefully reviewed and selected from 39 submissions and are organized in three thematic sessions on transportation; smart cities and blockchain; networks.
Digital Transformation: What Are the Smart Cities Today?
This book presents various models and approaches, specific proposals, and recommendations on a whole range of areas for smart cities' development. This book proposes to look at the problem through a broad overview of all elements of a smart city as a single system: smart governance, smart buildings, smart transportation, smart tourism destinations, smart economy, and smart environment. The book is intended for both young and experienced scientists who want to get acquainted with the latest trends and data for using them in their research.
Alteryx Designer Cookbook
Streamline your workflow, transform raw data into actionable insights, and use Alteryx Designer to shape, design, and visualize dataKey FeaturesAcquire the skills necessary to perform analytics operations like an expertDiscover hidden trends and insights in your data from various sources to make accurate predictionsReduce the time and effort required to derive insights from your dataPurchase of the print or Kindle book includes a free eBook in the PDF formatBook DescriptionAlteryx allows you to create data manipulation and analytic workflows with a simple, easy-to-use, code-free UI, and perform fast-executing workflows, offering multiple ways to achieve the same results. The Alteryx Designer Cookbook is a comprehensive guide to maximizing your Alteryx skills and determining the best ways to perform data operations.This book's recipes will guide you through an analyst's complete journey, covering all aspects of the data life cycle. The first set of chapters will teach you how to read data from various sources to obtain reports and pass it through the required adjustment operations for analysis. After an explanation of the Alteryx platform components with a particular focus on Alteryx Designer, you'll be taken on a tour of what and how you can accomplish by using this tool. Along the way, you'll learn best practices and design patterns. The book also covers real-world examples to help you apply your understanding of the features in Alteryx to practical scenarios.By the end of this book, you'll have enhanced your proficiency with Alteryx Designer and an improved ability to execute tasks within the tool efficiently.What you will learnSpeed up the cleansing, data preparing, and shaping processPerform operations and transformations on the data to suit your needsBlend different types of data sources for analysisPivot and un-pivot the data for easy manipulationPerform aggregations and calculations on the dataEncapsulate reusable logic into macrosDevelop high-quality, data-driven reports to improve consistencyWho this book is forThis book is for data analysts, data professionals, and business intelligence professionals seeking to harness the full potential of the tool. A basic understanding of Alteryx Designer and Alteryx terminology, including macros, apps, and workflows, is all you need to get started with this book.Table of ContentsInput data from filesWorking with databasesData Preparation Data Transformations Data Parsing Grouping DataBlending and Merging dataAggregationsDynamic Operations/ ToolsMacros and AppsDownloads, APIs & Web ServicesDeveloper optionsReporting with AlteryxOutputting Data
R Bioinformatics Cookbook - Second Edition
Discover over 80 recipes for modeling and handling real-life biological data using modern libraries from the R ecosystemKey Features: Apply modern R packages to process biological data using real-world examplesRepresent biological data with advanced visualizations and workflows suitable for research and publicationsSolve real-world bioinformatics problems such as transcriptomics, genomics, and phylogeneticsPurchase of the print or Kindle book includes a free PDF eBookBook Description: The updated second edition of R Bioinformatics Cookbook takes a recipe-based approach to show you how to conduct practical research and analysis in computational biology with R. You'll learn how to create a useful and modular R working environment, along with loading, cleaning, and analyzing data using the most up-to-date Bioconductor, ggplot2, and tidyverse tools.This book will walk you through the Bioconductor tools necessary for you to understand and carry out protocols in RNA-seq and ChIP-seq, phylogenetics, genomics, gene search, gene annotation, statistical analysis, and sequence analysis. As you advance, you'll find out how to use Quarto to create data-rich reports, presentations, and websites, as well as get a clear understanding of how machine learning techniques can be applied in the bioinformatics domain. The concluding chapters will help you develop proficiency in key skills, such as gene annotation analysis and functional programming in purrr and base R. Finally, you'll discover how to use the latest AI tools, including ChatGPT, to generate, edit, and understand R code and draft workflows for complex analyses.By the end of this book, you'll have gained a solid understanding of the skills and techniques needed to become a bioinformatics specialist and efficiently work with large and complex bioinformatics datasets.What You Will Learn: Set up a working environment for bioinformatics analysis with RImport, clean, and organize bioinformatics data using tidyrCreate publication-quality plots, reports, and presentations using ggplot2 and QuartoAnalyze RNA-seq, ChIP-seq, genomics, and next-generation genetics with BioconductorSearch for genes and proteins by performing phylogenetics and gene annotationApply ML techniques to bioinformatics data using mlr3Streamline programmatic work using iterators and functional tools in the base R and purrr packagesUse ChatGPT to create, annotate, and debug code and workflowsWho this book is for: This book is for bioinformaticians, data analysts, researchers, and R developers who want to address intermediate-to-advanced biological and bioinformatics problems by learning via a recipe-based approach. Working knowledge of the R programming language and basic knowledge of bioinformatics are prerequisites.
The Beginner's Guide to Data Science
This book discusses the principles and practical applications of data science, addressing key topics including data wrangling, statistics, machine learning, data visualization, natural language processing and time series analysis. Detailed investigations of techniques used in the implementation of recommendation engines and the proper selection of metrics for distance-based analysis are also covered.Utilizing numerous comprehensive code examples, figures, and tables to help clarify and illuminate essential data science topics, the authors provide an extensive treatment and analysis of real-world questions, focusing especially on the task of determining and assessing answers to these questions as expeditiously and precisely as possible. This book addresses the challenges related to uncovering the actionable insights in "big data," leveraging database and data collection tools such as web scraping and text identification.This book is organized as 11 chapters, structuredas independent treatments of the following crucial data science topics: Data gathering and acquisition techniques including data creationManaging, transforming, and organizing data to ultimately package the information into an accessible format ready for analysisFundamentals of descriptive statistics intended to summarize and aggregate data into a few concise but meaningful measurementsInferential statistics that allow us to infer (or generalize) trends about the larger population based only on the sample portion collected and recordedMetrics that measure some quantity such as distance, similarity, or error and which are especially useful when comparing one or more data observationsRecommendation engines representing a set of algorithms designed to predict (or recommend) a particular product, service, or other item of interest a user or customer wishes to buy or utilize in some mannerMachine learning implementations and associated algorithms, comprising core data science technologies with many practical applications, especially predictive analyticsNatural Language Processing, which expedites the parsing and comprehension of written and spoken language in an effective and accurate mannerTime series analysis, techniques to examine and generate forecasts about the progress and evolution of data over timeData science provides the methodology and tools to accurately interpret an increasing volume of incoming information in order to discern patterns, evaluate trends, and make the right decisions. The results of data science analysis provide real world answers to real world questions. Professionals working on data science and business intelligence projects as well as advanced-level students and researchers focused on data science, computer science, business and mathematics programs will benefit from this book.
Mastering Data Analytics -From Exploration to Prediction Prof.Dr.K .Mahammad Rafi
"The thorough manual "Mastering Data Analytics: From Exploration to Prediction" takes readers on a tour of the intriguing realm of data analytics. This book provides readers with the fundamental information and abilities required to harness the power of data for reasoned decision-making, whether they are novices or seasoned data aficionados.The book starts with the basics before introducing readers to important ideas in data analysis, statistical methods, and data visualization. After that, it gets into more complex subjects like machine learning and predictive modeling, offering detailed instructions on how to create and use predictive models.Throughout the book, real-world uses of data analytics in a variety of industries-from business and finance to healthcare and marketing-are illustrated with concrete examples and case studies. Readers will gain knowledge on how to examine and clean data, glean insightful conclusions, and develop forecasts based on data that lead to success.In order to assist readers become skilled in data analysis, "Mastering Data Analytics" stresses a hands-on approach and provides advice, tools, and best practices. This book is your indispensable companion for mastering the art of data analytics, whether you are a data newbie hoping to break into the profession or an experienced analyst looking to improve your skills.
Machine Learning with Qlik Sense
Master the art of machine learning by using the one-of-a-kind Qlik platform, and take your data analytics skills to the next levelKey Features: Gain a solid understanding of machine learning concepts and learn to effectively define a problemExplore the application of machine learning principles within the Qlik platformApply your knowledge of ML to real-world scenarios with the help of practical examplesPurchase of the print or Kindle book includes a free PDF eBookBook Description: The ability to forecast future trends through data prediction, coupled with the integration of ML and AI, has become indispensable to global enterprises. Qlik, with its extensive machine learning capabilities, stands out as a leading analytics platform enabling businesses to achieve exhaustive comprehension of their data. This book helps you maximize these capabilities by using hands-on illustrations to improve your ability to make data-driven decisions.You'll begin by cultivating an understanding of machine learning concepts and algorithms, and build a foundation that paves the way for subsequent chapters. The book then helps you navigate through the process of framing machine learning challenges and validating model performance. Through the lens of Qlik Sense, you'll explore data preprocessing and analysis techniques, as well as find out how to translate these techniques into pragmatic machine learning solutions. The concluding chapters will help you get to grips with advanced data visualization methods to facilitate a clearer presentation of findings, complemented by an array of real-world instances to bolster your skillset.By the end of this book, you'll have mastered the art of machine learning using Qlik tools and be able to take your data analytics journey to new heights.What You Will Learn: Find out how to build practical machine learning solutions with the Qlik platformDevelop the skills needed to generate and verify machine learning models using the Qlik platformDiscover techniques used for preparing and investigating data to craft machine learning solutionsUnderstand how to transform real-world business problems into machine learning modelsExpand your potential to new use cases with data analyticsExplore advanced visualization techniques to make your models come aliveWho this book is for: If you're interested in data and analytics and are looking to extend your skillset to machine learning, this book is for you. Basic working knowledge of data, preferably with Qlik tools, will help you get started with this book. This is an excellent guide for anyone who wants to start using machine learning as part of their data analytics journey.
Advanced Analytics with Power BI and Excel
Empowering You to Master Business Intelligence and Solve Real-world Analytical Problems.DESCRIPTIONIn today's analytics landscape, proficiency in Excel and Power BI is practically a prerequisite for a successful career. This book provides a concise yet comprehensive exploration of these foundational elements of modern Business Intelligence (BI).Comprising ten chapters, this book covers the entire development journey of a Power BI analytical solution, spanning from data modeling and preparation to report creation, publication, and dashboard and app deployment. It offers insights into security measures and performance optimization, ensuring a well-rounded understanding of the BI ecosystem. Furthermore, it delves into advanced topics, such as leveraging data science algorithms within reports, offering readers an extensive learning experience. The book takes a holistic approach to these technologies, offering a contrast to the narrow perspectives often adopted by contemporary BI professionals who rely solely on a single tool or language. The book allows data enrichment through calculations that can be achieved using various languages, including SQL queries at the source, Power Query Formula Language, M, Python, R, and DAX. By the end of this book you will master these options but be able to also weigh their pros and cons to make informed decisions.TABLE OF CONTENTS 1. Introducing the Theoretical Background for Democratizing Analytics2. Acquiring and transforming data from multiple sources3. Power Query Transformations and Formula Language (M) Overview4. Building a simple analytical solution with Power Pivot in Excel5. Enhancing the model and business analysis with DAX6. Creating reports in Power BI Desktop7. Using the Power BI Service8. Data Science in Power BI 9. Optimizing Power BI models and reports10. Deploying, Maintaining and Securing Power BI Assets Index
Service-Oriented Computing
These two volumes constitute the proceedings of the 21st International Conference, ICSOC 2023, held Rome, Italy, during November 28-December 1, 2023.The 35 full papers and the 10 short papers included in this volume were carefully reviewed and selected from 208 submissions. The volumes focus on cutting-edge topics like artificial intelligence, machine learning, big data analytics, the Internet of Things (IoT), and emerging technologies such as quantum computing, blockchain, chatbots, and sustainable green IT solutions.
Advances in Mobile Computing and Multimedia Intelligence
This book constitutes the refereed proceedings of the 21st International Conference on Advances in Mobile Computing and Multimedia Intelligence, MoMM2023, organized in conjunction with the 25th International Conference on Information Integration and Web Intelligence, iiWAS 2023, held in Denpasar, Bali, Indonesia, during December 4-6, 2023.The 10 full papers and 5 short papers presented in this book were carefully reviewed and selected from 37 submissions. The papers are divided into the following topical sections: security in mobile environments; mobile computing and wireless sensors; and image and video processing.
Service-Oriented Computing
These two volumes constitute the proceedings of the 21st International Conference, ICSOC 2023, held Rome, Italy, during November 28-December 1, 2023.The 35 full papers and the 10 short papers included in this volume were carefully reviewed and selected from 208 submissions. The volumes focus on cutting-edge topics like artificial intelligence, machine learning, big data analytics, the Internet of Things (IoT), and emerging technologies such as quantum computing, blockchain, chatbots, and sustainable green IT solutions.
Knowledge and Systems Sciences
This book constitutes the proceedings of the 22nd International Symposium, KSS 2023, held in Guangzhou, China, during December 2-3, 2023. The 20 full papers included in this volume were carefully reviewed and selected from 56 submissions. The volume is divided in topical sections that cover the following topics: data mining and machine learning, complex systems modeling, decision analysis and knowledge management, opinion mining and knowledge technologies.
Information Integration and Web Intelligence
This book constitutes the refereed conference proceedings of the 25th International Conference on Information Integration and Web Intelligence, iiWAS 2023, organized in conjunction with the 21st International Conference on Advances in Mobile Computing and Multimedia Intelligence, MoMM2023, held in Denpasar, Bali, Indonesia, during December 4-6, 2023.The 24 full papers and 24 short papers presented in this book were carefully reviewed and selected from 96 submissions. The papers are divided into the following topical sections: business data and applications; data management; deep and machine Learning; generative AI; image data and knowledge graph; recommendation systems; similarity measure and metric; and topic and text matching.
