Ai-Based Data Analytics
This book covers various topics related to marketing and business analytics. It explores how organizations can increase their profits by making better decisions in a timely manner through the use of data analytics. This book is meant for students, practitioners, industry professionals, researchers, and academics working in the field of commerce and marketing, big data analytics, and organizational decision-making. Highlights of the book include: The role of Explainable AI in improving customer experiences in e-commerce Sentiment analysis of social media Data analytics in business intelligence Federated learning for business intelligence AI-based planning of business management An AI-based business model innovation in new technologies An analysis of social media marketing and online impulse buying behaviour AI-Based Data Analytics: Applications for Business Management has two primary focuses. The first is on analytics for decision-making and covers big data analytics for market intelligence, data analytics and consumer behavior, and the role of big data analytics in organizational decision-making. The book's second focus is on digital marketing and includes the prediction of marketing by consumer analytics, web analytics for digital marketing, smart retailing, and leveraging web analytics for optimizing digital marketing strategies.
Getting Started with Enterprise Architecture
Implement a basic Enterprise Architecture from start to finish using a four-stage, wheel-based approach. Aided by real-world examples, this book shows what elements are needed for the initial implementation of a fundamental Enterprise Architecture. The book's pragmatic approach keeps existing architecture frameworks and methodologies in mind while providing instructions that are readable and applicable to all. The Enterprise Architecture Implementation Wheel builds on the methodology of existing architecture frameworks and allows you to apply the theory more pragmatically and closer to the reality that an architect encounters in daily practice. While the main focus of the book is on the actual steps taken to design an Enterprise Architecture, other important topics include architecture origin, definition, domains, visualization, and roles. Getting Started with Enterprise Architecture is the ideal handbook for the architect who is asked to implement an Enterprise Architecture in an existing organization. What You'll Learn Identify a company's needs and develop an appropriate strategy to satisfy those needs Implement measurable goals and objectives for a baseline architecture Create meaningful catalogues, diagrams, and maps to communicate the architecture to an organization Measure the progress of implementing the architecture Who This Book Is For Novice (Enterprise and Business) architects Senior management Executives
Computing and Informatics
This book constitutes the revised selected papers of the 9th International conference, ICOCI 2023, held in Kuala Lumpur, Malaysia, during September 13-15, 2023.The 55 full papers included in this volume were carefully reviewed and selected from 134 submissions. The papers focus on ensuring cybersecurity and privacy, digital media and information literacy, navigating AI development and deployment, harnessing technology for sustainable development, digital healthcare and well-being, education transformation through technology, digital entrepreneurship and innovation.
Advances in Information Systems, Artificial Intelligence and Knowledge Management
This book constitutes the refereed proceedings of the 6th International Conference on Information and Knowledge Systems, ICIKS 2023, held in Portsmouth, UK, during June 22-23, 2023.The 18 full papers and 6 short papers included in this book were carefully reviewed and selected from 58 submissions. They were organized in topical sections as follows: Decision Making, Recommender Systems, and Information Support Systems; Information Systems and Machine Learning; Knowledge Management, Context and Ontology; Cybersecurity and Intelligent Systems; and Natural Language Processing for Decision Systems.
Security and Privacy in Cyber-Physical Systems and Smart Vehicles
This book constitutes the refereed proceedings of the First EAI International Conference, SmartSP 2023, held in Chicago, USA, during October 12-13, 2023. The 11 revised full papers were carefully reviewed and selected from 24 submissions. The papers focus on all details all technological aspects that are relevant to Security and privacy in cyber-physical systems.
Management of Digital Ecosystems
This book constitutes the revised selected papers of the 15th International Conference, MEDES 2023, Heraklion, Crete, Greece, May 5-7, 2023The 29 full papers included in this volume were carefully reviewed and selected from 52 submissions. The papers focus on the following topics: Design Issues & BlockChain, Query Processing and Visualization, Learning Issues, Services and Systems, Business and Communication Technologies, Digital Twin and Security, Architecture Technologies, Time and Text Management.
Computing and Informatics
This book constitutes the revised selected papers of the 9th International conference, ICOCI 2023, held in Kuala Lumpur, Malaysia, during September 13-15, 2023.The 55 full papers included in this volume were carefully reviewed and selected from 134 submissions. The papers focus on ensuring cybersecurity and privacy, digital media and information literacy, navigating AI development and deployment, harnessing technology for sustainable development, digital healthcare and well-being, education transformation through technology, digital entrepreneurship and innovation.
Big Data and Artificial Intelligence
This book constitutes the proceedings of the 11th International Conference on Big Data and Artificial Intelligence, BDA 2023, held in Delhi, India, during December 7-9, 2023. The17 full papers presented in this volume were carefully reviewed and selected from 67 submissions. The papers are organized in the following topical sections: ​Keynote Lectures, Artificial Intelligence in Healthcare, Large Language Models, Data Analytics for Low Resource Domains, Artificial Intelligence for Innovative Applications and Potpourri.
Energy Informatics
This two-volume set LNCS 14467-14468 constitutes the proceedings of the First Energy Informatics Academy Conference, EI.A 2023, held in Campinas, Brazil, in December 2023. The 39 full papers together with 8 short papers included in these volumes were carefully reviewed and selected from 53 submissions. The conference focuses on the application of digital technology and information management to facilitate the global transition towards sustainable and resilient energy systems.
Energy Informatics
This two-volume set LNCS 14467-14468 constitutes the proceedings of the First Energy Informatics Academy Conference, EI.A 2023, held in Campinas, Brazil, in December 2023. The 39 full papers together with 8 short papers included in these volumes were carefully reviewed and selected from 53 submissions. The conference focuses on the application of digital technology and information management to facilitate the global transition towards sustainable and resilient energy systems.
Data Analytics with SAS
Data Analytics with SAS is an attempt to learn concepts of Data Analytics with SAS tool. Starting with the fundamentals, the book introduces you to SAS by explaining its architecture, components, libraries and graphical user interface. It then delves into abilities like manipulating and exploring data, where both basic and advanced techniques are covered. The book outlines concepts and functions for data manipulation. Data manipulation is important as without it, we cannot define data in a proper format. Moreover, data without a proper format and features cannot be used for further analysis. The book outlines concepts and functions of data exploration. Data exploration or Exploratory Data Analysis (EDA) is the first step in data analysis. It is a very critical step as it helps us get insights from data to understand past behaviors. To facilitate a practical learning experience with SAS, the book offers examples and code snippets.
Principles of Software Architecture Modernization
Long path to better systems that last longer and make engineers and customers happierThis book is a comprehensive guide to designing scalable and maintainable software written by an expert. It covers the principles, patterns, anti-patterns, trade-offs, and concepts that software developers and architects need to understand to design software that is both scalable and maintainable.The book begins by introducing the concept of monoliths and discussing the challenges associated with scaling and maintaining them. It then covers several anti-patterns that can lead to these challenges, such as lack of isolation and internal shared libraries.The next section of the book focuses on the principles of good software design, such as loose coupling and encapsulation. It also covers several software architecture patterns that can be used to design scalable and maintainable monoliths, such as the layered architecture pattern and the microservices pattern.The final section of the book guides how to migrate monoliths to distributed systems. It also covers how to test and deploy distributed systems effectively.WHAT YOU WILL LEARN● Understand the challenges of monoliths and the common anti-patterns that lead to them.● Learn the principles of good software design, such as loose coupling and encapsulation.● Discover software architecture patterns that can be used to design scalable and maintainable monoliths.● Get guidance on how to migrate monoliths to distributed systems.● Learn how to test and deploy distributed systems effectively. WHO THIS BOOK IS FORThis book is for software developers, architects, system architects, DevOps engineers, site reliability engineers, and anyone who wants to learn about the principles and practices of modernizing software architectures. The book is especially relevant for those who are working with legacy systems or want to design new systems that are scalable, resilient, and maintainable.
Artificial Intelligence: Towards Sustainable Intelligence
This book constitutes the proceedings of the First International Conference, AI4S 2023, held in Pune, India, during September 4-5, 2023.The 14 full papers and the 2 short papers included in this volume were carefully reviewed and selected from 72 submissions. This volume aims to open discussion on trustworthy AI and related topics, trying to bring the most up to date developments around the world from researchers and practitioners.
Leveraging Generative Intelligence in Digital Libraries: Towards Human-Machine Collaboration
This two-volume set LNCS 14457 and LNCS 14458 constitutes the refereed proceedings of the 25th International Conference on Asia-Pacific Digital Libraries, ICADL 2023, held in Taipei, Taiwan, during December 4-7, 2023. The 15 full, 17 short, 2 practice papers and 12 poster papers presented in this volume were carefully reviewed and selected from 85 submissions. Based on significant contributions, the full and short papers have been classified into the following topics: include information retrieval, knowledge extraction and discovery, cultural and scholarly data, information seeking and use, digital archives and data management, design and evaluation of information environments, and applications of GAI in digital libraries.
Leveraging Generative Intelligence in Digital Libraries: Towards Human-Machine Collaboration
This two-volume set LNCS 14457 and LNCS 14458 constitutes the refereed proceedings of the 25th International Conference on Asia-Pacific Digital Libraries, ICADL 2023, held in Taipei, Taiwan, during December 4-7, 2023. The 15 full, 17 short, 2 practice papers and 12 poster papers presented in this volume were carefully reviewed and selected from 85 submissions. Based on significant contributions, the full and short papers have been classified into the following topics: include information retrieval, knowledge extraction and discovery, cultural and scholarly data, information seeking and use, digital archives and data management, design and evaluation of information environments, and applications of GAI in digital libraries.
DataForge Analytics Hub
Introducing the DataForge Analytics Hub, a groundbreaking platform designed to revolutionize data analysis in the digital age. Authored by the visionary Paul Davis, this cutting-edge system promises to redefine the way businesses extract insights from their data.At its core, the DataForge Analytics Hub combines state-of-the-art data processing capabilities with intuitive user interfaces, providing a seamless experience for both data scientists and business users. Davis envisions a future where organizations can harness the full potential of their data with unprecedented ease.The platform boasts advanced analytics tools, machine learning algorithms, and real-time processing capabilities. Paul Davis, a seasoned expert in the field, brings a wealth of experience to the development of this innovative hub, ensuring that it addresses the diverse needs of businesses across industries.With a focus on accessibility and collaboration, the DataForge Analytics Hub empowers teams to collaborate on data projects efficiently. Davis envisions a democratization of data, where every stakeholder can contribute to and benefit from the analytical process.As organizations strive to navigate the complexities of a data-driven world, the DataForge Analytics Hub, authored by Paul Davis, emerges as a beacon of innovation, promising to usher in a new era of data analytics that is powerful, user-friendly, and transformative.
Statistical Tableau
In today's data-driven world, understanding statistical models is crucial for effective analysis and decision making. Whether you're a beginner or an experienced user, this book equips you with the foundational knowledge to grasp and implement statistical models within Tableau. Gain the confidence to speak fluently about the models you employ, driving adoption of your insights and analysis across your organization. As AI continues to revolutionize industries, possessing the skills to leverage statistical models is no longer optional--it's a necessity. Stay ahead of the curve and harness the full potential of your data by mastering the ability to interpret and utilize the insights generated by these models. Whether you're a data enthusiast, analyst, or business professional, this book empowers you to navigate the ever-evolving landscape of data analytics with confidence and proficiency. Start your journey toward data mastery today. In this book, you will learn: The basics of foundational statistical modeling with Tableau How to prove your analysis is statistically significant How to calculate and interpret confidence intervals Best practices for incorporating statistics into data visualizations How to connect external analytics resources from Tableau using R and Python
Indexing on Non-Volatile Memory
This book focuses on online transaction processing indexes designed for scalable, byte-addressable non-volatile memory (NVM) and provides a systematic review and summary of the fundamental principles and techniques as well as an outlook on the future of this research area. In this book, the authors divide the development of NVM indexes into three "eras"-- pre-Optane, Optane and post-Optane--based on when the first major scalable NVM device (Optane) became commercially available and when it was announced to be discontinued. The book will analyze the reasons for the slow adoption of NVM and give an outlook for indexing techniques in the post-Optane era. The book assumes only basic undergraduate-level understanding on indexing (e.g., B+-trees, hash tables) and database systems in general. It is otherwise self-contained with the necessary background information, including an introduction to NVM hardware and software/programming issues, a detailed description of different indexes in highly concurrent systems for non-experts and new researchers to get started in this area.
The Power of Numbers in Health Care
The Importance of Data in Health CareIn the world of health care, data plays a crucial role in ensuring the delivery of efficient and effective services. From patient records to clinical trials, numerical data is invaluable in shaping policies, making informed decisions, and improving health outcomes. As students embarking on a journey in data analysis within the health care field, understanding the importance of data is essential.One of the primary uses of numerical data in health care is in patient care. By collecting and analyzing data on patients' medical history, symptoms, and treatment plans, healthcare professionals can gain insights into patterns and trends. This information enables them to make accurate diagnoses, develop personalized treatment plans, and monitor the progress of patients over time. Moreover, data analysis helps identify risk factors and predict potential health issues, allowing for proactive interventions and preventive measures.Another critical aspect of data in health care is research and development. Clinical trials and studies collect vast amounts of numerical data to test the efficacy and safety of new treatments, medications, and medical devices. This data is analyzed to determine the effectiveness of interventions, identify side effects, and provide evidence for regulatory approvals. Through rigorous data analysis, researchers can contribute to medical advancements, shaping the future of health care.Furthermore, data plays a crucial role in health care management. Administrators and policymakers rely on data to evaluate the performance of healthcare facilities, identify areas for improvement, and allocate resources effectively. By analyzing data on patient satisfaction, wait times, and cost-effectiveness, administrators can enhance the quality of care, streamline operations, and optimize resource allocation. This not only ensures better patient outcomes but also contributes to the overall sustainability of the health care system.
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)
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
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.
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.
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)
A Complete Guide to Data Science Essentials
Explore the vast field of data science with "A Complete Guide to Data Science Essentials," an easy-to-use guide that breaks down the complicated parts of this ever-changing field. This book, written by Miguel, a seasoned data science expert, takes you step-by-step through the most important ideas, methods, and tools that will shape the data-driven world in 2023.Learn about important things like machine learning, statistical analysis, and computer languages (like Python, R, etc.) to get the skills you need to work in the ever-changing field of data science. Learn the mathematical ideas that support data science to build a strong base for advanced analytics and fixing problems.Stay ahead of the curve by learning how to use popular computer languages to do cutting edge data manipulation, analysis, and visualization. The book puts a lot of stress on practical scripting and coding, making sure that readers learn how to turn raw data into insights that they can use.Master the art of cleaning and preparing data to make it more reliable and of higher quality. Learn the newest ways to collect and source data. With an emphasis on real-world uses, the guide talks about the problems that come up when you have to deal with missing values and outliers and gives you useful ways to make your data analysis stronger."A Complete Guide to Data Science Essentials" is the book you need whether you're an experienced data professional or a beginner who can't wait to start your data science path. This is an important resource for staying current in the data-driven era. It includes the most popular keywords and methods that define the field of data science right now.
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.
MATLAB Deep Learning
Dive into the exciting world of deep learning and artificial intelligence using MATLAB with "MATLAB Deep Learning With Machine Learning, Neural Networks, and Artificial Intelligence" by Phil Kim. This comprehensive guide takes you on a journey through the fascinating realm of machine learning, neural networks, and AI, all within the powerful framework of MATLAB. Inside the pages of this book, you'll embark on a hands-on exploration of MATLAB's robust capabilities for developing cutting-edge machine learning models. Phil Kim, an expert in the field, provides you with a step-by-step approach to harness the true potential of MATLAB, enabling you to unlock the secrets of deep learning and AI. Key Features: Fundamental Concepts: Start with the basics and build a strong foundation in machine learning, neural networks, and artificial intelligence. Hands-On MATLAB Tutorials: Get practical, real-world experience through numerous MATLAB examples and exercises that guide you through the learning process. Building and Training Neural Networks: Master the art of creating neural networks, training them, and optimizing their performance for a wide range of applications. Deep Dive into Deep Learning: Learn about convolutional neural networks (CNNs), recurrent neural networks (RNNs), and generative adversarial networks (GANs), and understand how to implement them in MATLAB. AI Applications: Discover how to apply your newfound knowledge to solve real-world problems in fields like computer vision, natural language processing, and more. MATLAB Tools and Resources: Leverage the extensive MATLAB toolset for data preprocessing, model evaluation, and deployment. Advanced Techniques: Explore advanced topics like transfer learning, reinforcement learning, and deploying your models to edge devices. Whether you are a seasoned data scientist looking to enhance your skills or a newcomer to the world of deep learning and AI, "MATLAB Deep Learning With Machine Learning, Neural Networks, and Artificial Intelligence" offers a comprehensive and accessible approach to mastering the art of intelligent computing. Unlock the full potential of MATLAB and dive into the future of technology with this essential guide by Phil Kim.
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.
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.
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.
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.
Edge Computing - Technology, Management and Integration
Over the years, computing has moved from centralized location-based computing to distributed cloud computing. Because of cloud computing's security, regulatory, and latency issues, it was necessary to move all computation processes to the edge of the network (edge computing). However, at the edge, traditional computing devices no longer exist on their own. They have been joined by millions of mobile, Internet of Things (IoT), and smart devices, all needing computation. Therefore, edge computing infrastructure is necessary for multiple devices at the edge of the network. This book explores various technologies that make edge computing possible and how to manage computing at the edge and integrate it with existing networks and 5G networks of the future. It investigates the current state-of-the-art infrastructure and architecture and highlights advances and future trends. Security and privacy become a concern when you compute at the edge because the data needs to travel across various network nodes and user devices at the edge. As such, this book also discusses the management of security, privacy, and other network issues.
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.
