Practitioner’s Guide to Data Science
���� Are you ready to embark on an exhilarating journey through the captivating realm of data science? Look no further! ����In today's data-driven world, mastering the art of data science is not just an advantage; it's essential. Whether you're an aspiring data wizard or a seasoned professional, this Practitioner's Guide to Data Science is your key to unlocking the limitless potential hidden within data.
Data Science
Are you ready to embark on a thrilling journey into the world of data science, where raw data is transformed into invaluable insights? Dive headfirst into "Data Science Concepts and Practice," a groundbreaking book that demystifies the complex world of data science and equips you with the skills you need to succeed in this data-driven era. ���� Discover the Secrets of Data Analysis: From data wrangling to visualization, you'll master the art of extracting actionable knowledge from vast datasets. ���� Embrace Machine Learning: Unleash the potential of artificial intelligence as you delve into algorithms, predictive modeling, and the endless possibilities of AI. ���� Harness Big Data: Learn to navigate the sea of information with ease, turning big data into a powerful asset for your business or projects. ���� Practical Applications: Real-world examples and hands-on exercises ensure you not only understand the concepts but can apply them effectively. ���� Uncover Insights: Dive deep into data mining techniques to unearth hidden patterns and trends that drive smart decision-making. ���� Join the Data Revolution: Position yourself as a sought-after data scientist with the knowledge and expertise needed in today's competitive job market. Whether you're a beginner looking to enter the world of data science or a seasoned professional seeking to expand your skillset, this comprehensive guide is your roadmap to success. Packed with easy-to-follow explanations, captivating examples, and expert tips, "Data Science Concepts and Practice" is your essential companion on the path to becoming a data science wizard. Don't miss out on this opportunity to transform your career and elevate your understanding of data science. Join the ranks of data pioneers who are shaping the future today. Your journey to data enlightenment starts here!
Advanced Data Mining and Applications
This book constitutes the refereed proceedings of the 19th International Conference on Advanced Data Mining and Applications, ADMA 2023, held in Shenyang, China, during August 21-23, 2023.The 216 full papers included in this book were carefully reviewed and selected from 503 submissions. They were organized in topical sections as follows: Data mining foundations, Grand challenges of data mining, Parallel and distributed data mining algorithms, Mining on data streams, Graph mining and Spatial data mining.
Cooperative Information Systems
This book constitutes the refereed proceedings of the 29th International Conference on Cooperative Information Systems, CoopIS 2023, held in Groningen, The Netherlands, during October 30-November 3, 2023. The 21 regular papers and 10 work-in-progress papers included in this book were carefully reviewed and selected from 100 submissions. They were organized in topical sections as follows: Knowledge Engineering; Deployment and Migration in CISs; Security and Privacy in CISs; Process Modeling; Process Analytics; Human Aspects and Social Interaction in CISs; and Work in Progress.
Applied Informatics
This book constitutes the proceedings of the 6th International Conference on Applied Informatics, ICAI 2023, which took place in Guayaquil, Ecuador, in October 2023.The 30 papers presented in this volume were carefully reviewed and selected from 132 submissions. The contributions are divided into the following thematic blocks: Artificial Intelligence; Data Analysis; Decision Systems; Enterprise Information Systems Applications; Geoinformatics; Health Care Information Systems; Interdisciplinary Information Studies; Learning Management Systems; Virtual and Augmented Reality.
Advanced Data Mining and Applications
This book constitutes the refereed proceedings of the 19th International Conference on Advanced Data Mining and Applications, ADMA 2023, held in Shenyang, China, during August 21-23, 2023.The 216 full papers included in this book were carefully reviewed and selected from 503 submissions. They were organized in topical sections as follows: Data mining foundations, Grand challenges of data mining, Parallel and distributed data mining algorithms, Mining on data streams, Graph mining and Spatial data mining.
Advanced Data Mining and Applications
This book constitutes the refereed proceedings of the 19th International Conference on Advanced Data Mining and Applications, ADMA 2023, held in Shenyang, China, during August 21-23, 2023.The 216 full papers included in this book were carefully reviewed and selected from 503 submissions. They were organized in topical sections as follows: Data mining foundations, Grand challenges of data mining, Parallel and distributed data mining algorithms, Mining on data streams, Graph mining and Spatial data mining.
Advanced Data Mining and Applications
This book constitutes the refereed proceedings of the 19th International Conference on Advanced Data Mining and Applications, ADMA 2023, held in Shenyang, China, during August 21-23, 2023.The 216 full papers included in this book were carefully reviewed and selected from 503 submissions. They were organized in topical sections as follows: Data mining foundations, Grand challenges of data mining, Parallel and distributed data mining algorithms, Mining on data streams, Graph mining and Spatial data mining.
Computer Information Systems and Industrial Management
This book constitutes the proceedings of the 22nd International Conference on Computer Information Systems and Industrial Management, CISIM 2023, held in Tokio, Japan, during September 22-24, 2023. The 36 papers presented in this book were carefully reviewed and selected from 77 submissions. They were organized in topical sections as follows: biometrics and pattern recognition applications; computer information systems and security; industrial management and other applications; machine learning and artificial neural networks; modelling and optimization; wellbeing and affective engineering; and machine learning using biometric data and kansei data.
Data Science
Dive into the world of cutting-edge data science with this captivating and comprehensive guide. Unveil the power of data analysis and interpretation as you embark on a journey through the realm of Julia programming. Whether you're a seasoned data enthusiast or a curious newcomer, this book is your ultimate companion to mastering the art of extracting insights from complex datasets. Inside these pages, you'll discover a treasure trove of techniques that unlock the true potential of data. From foundational concepts to advanced methodologies, the author expertly navigates through the intricacies of Julia, leading you towards data-driven discoveries. With a focus on practicality, each chapter seamlessly blends theory with real-world applications, making learning an exhilarating and fruitful experience. Breathe life into your analytical prowess as you explore essential topics such as machine learning, statistical modeling, and data visualization. Through hands-on examples and engaging exercises, you'll effortlessly grasp complex ideas, transforming them into tangible results. Harness the potential of Julia's high-performance capabilities and harness the insights hidden within your data like never before. What sets this book apart is its unparalleled dedication to demystifying the data science landscape. You'll uncover a holistic approach that not only hones your technical skills but also nurtures your creative problem-solving abilities. As you progress, you'll find yourself seamlessly transitioning from a reader to a practitioner, equipped with the confidence to tackle real-world challenges head-on. Whether you're a data scientist, analyst, researcher, or simply someone intrigued by the world of data, this book promises to be your beacon of knowledge. Let your curiosity guide you as you embark on an enlightening adventure through the art and science of data analysis. Are you ready to revolutionize your understanding of data? Your journey starts here.
Intelligent Systems and Pattern Recognition
This volume constitutes selected papers presented during the Third International Conference on Intelligent Systems and Pattern Recognition, ISPR 2023, held in Hammamet, Tunisia, in May 2023. The 44 full papers presented were thoroughly reviewed and selected from the 129 submissions. The papers are organized in the following topical sections: computer vision; data mining; pattern recognition; machine and deep learning.
Intelligent Systems and Pattern Recognition
This volume constitutes selected papers presented during the Third International Conference on Intelligent Systems and Pattern Recognition, ISPR 2023, held in Hammamet, Tunisia, in May 2023. The 44 full papers presented were thoroughly reviewed and selected from the 129 submissions. The papers are organized in the following topical sections: computer vision; data mining; pattern recognition; machine and deep learning.
Modern Data Visualization with R
Modern Data Visualization with R describes the many ways that raw and summary data can be turned into visualizations that convey meaningful insights. It starts with basic graphs such as bar charts, scatter plots, and line charts, but progresses to less well-known visualizations such as tree maps, alluvial plots, radar charts, mosaic plots, effects plots, correlation plots, biplots, and the mapping of geographic data. Both static and interactive graphics are described and the use of color, shape, shading, grouping, annotation, and animations are covered in detail. The book moves from a default look and feel for graphs, to graphs with customized colors, fonts, legends, annotations, and organizational themes.Features Contains a wide breadth of graph types including newer and less well-known approaches Connects each graph type to the characteristics of the data and the goals of the analysis Moves the reader from simple graphs describing one variable to building visualizations that describe complex relationships among many variables Provides newer approaches to creating interactive web graphics via JavaScript libraries Details how to customize each graph type to meet users' needs and those of their audiences Gives methods for creating visualizations that are publication ready for print (in color or black and white) and the web Suggests best practices Offers examples from a wide variety of fields The book is written for those new to data analysis as well as the seasoned data scientist. It can be used for both teaching and research, and will particularly appeal to anyone who needs to describe data visually and wants to find and emulate the most appropriate method quickly. The reader should have some basic coding experience, but expertise in R is not required. Some of the later chapters (e.g., visualizing statistical models) assume exposure to statistical inference at the level of analysis of variance and regression.
Introduction To Data Science
Uncover the Power of Data: Your Journey Starts Here! Are you fascinated by the world of data and its incredible potential to transform industries and shape the future? Dive into the captivating realm of data science with our comprehensive guide, "Introduction to Data Science." In this engaging and accessible book, you will embark on a thrilling journey through the intricate world of data and learn how it drives innovation, informs decisions, and fuels discoveries across various domains. Whether you're a curious beginner or a professional looking to expand your knowledge, this book is your gateway to mastering the art and science of data analysis. What You'll Discover Inside: The Data Universe Unveiled Delve into the fundamental concepts of data science and gain a deep understanding of the data lifecycle, types of data, and the role of data in modern society. Cracking the Code of Data Analysis Learn the essential tools and techniques used by data scientists to collect, clean, and analyze data effectively. From Python to data visualization, you'll acquire the skills needed to extract valuable insights from raw data. The Power of Machine Learning Explore the exciting world of machine learning and its applications. Discover how algorithms can predict trends, recommend products, and even enable self-driving cars. Real-World Applications See data science in action through captivating case studies from diverse fields, such as healthcare, finance, marketing, and beyond. Witness how data-driven solutions are solving complex problems and shaping industries. Ethics and Responsible Data Science Understand the ethical considerations and responsible practices that every data scientist must adhere to. Explore the implications of AI bias, privacy concerns, and the ethical use of data. Your Path to Data Science Mastery Find guidance on how to pursue a career in data science, build a strong portfolio, and stay updated in this rapidly evolving field. With clear explanations, practical examples, and hands-on exercises, "Introduction to Data Science" makes complex concepts accessible and empowers you to harness the power of data in your personal and professional life. Whether you dream of becoming a data scientist or simply want to become a more data-savvy individual, this book is your first step toward unlocking the endless possibilities that data science offers. Join the data revolution today and embark on your exciting journey into the world of data science. Start turning raw data into actionable insights, and become a key player in shaping the future with "Introduction to Data Science."
Serverless Machine Learning with Amazon Redshift ML
Supercharge and deploy Amazon Redshift Serverless, train and deploy machine learning models using Amazon Redshift ML, and run inference queries at scaleKey Features: Leverage supervised learning to build binary classification, multi-class classification, and regression modelsLearn to use unsupervised learning using the K-means clustering methodMaster the art of time series forecasting using Redshift MLPurchase of the print or Kindle book includes a free PDF eBookBook Description: Amazon Redshift Serverless enables organizations to run petabyte-scale cloud data warehouses quickly and in a cost-effective way, enabling data science professionals to efficiently deploy cloud data warehouses and leverage easy-to-use tools to train models and run predictions. This practical guide will help developers and data professionals working with Amazon Redshift data warehouses to put their SQL knowledge to work for training and deploying machine learning models.The book begins by helping you to explore the inner workings of Redshift Serverless as well as the foundations of data analytics and types of data machine learning. With the help of step-by-step explanations of essential concepts and practical examples, you'll then learn to build your own classification and regression models. As you advance, you'll find out how to deploy various types of machine learning projects using familiar SQL code, before delving into Redshift ML. In the concluding chapters, you'll discover best practices for implementing serverless architecture with Redshift.By the end of this book, you'll be able to configure and deploy Amazon Redshift Serverless, train and deploy machine learning models using Amazon Redshift ML, and run inference queries at scale.What You Will Learn: Utilize Redshift Serverless for data ingestion, data analysis, and machine learningCreate supervised and unsupervised models and learn how to supply your own custom parametersDiscover how to use time series forecasting in your data warehouseCreate a SageMaker endpoint and use that to build a Redshift ML model for remote inferenceFind out how to operationalize machine learning in your data warehouseUse model explainability and calculate probabilities with Amazon Redshift MLWho this book is for: Data scientists and machine learning developers working with Amazon Redshift who want to explore its machine-learning capabilities will find this definitive guide helpful. A basic understanding of machine learning techniques and working knowledge of Amazon Redshift is needed to make the most of this book.
Making Embedded Systems
Interested in developing embedded systems? Since they don't tolerate inefficiency, these systems require a disciplined approach to programming. This easy-to-read guide helps you cultivate good development practices based on classic software design patterns and new patterns unique to embedded programming. You'll learn how to build system architecture for processors, not for operating systems, and you'll discover techniques for dealing with hardware difficulties, changing designs, and manufacturing requirements. Written by an expert who has created systems ranging from DNA scanners to children's toys, this book is ideal for intermediate and experienced programmers, no matter what platform you use. This expanded second edition includes new chapters on IoT and networked sensors, motors and movement, debugging, data handling strategies, and more. Optimize your system to reduce cost and increase performance Develop an architecture that makes your software robust in resource-constrained environments Explore sensors, displays, motors, and other I/O devices Reduce RAM and power consumption, code space, and processor cycles Learn how to interpret schematics, datasheets, and power requirements Discover how to implement complex mathematics and machine learning on small processors Design effective embedded systems for IoT and networked sensors
Advanced Mathematical Applications in Data Science
Advanced Mathematical Applications in Data Science comprehensively explores the crucial role mathematics plays in the field of data science. Each chapter is contributed by scientists, researchers, and academicians. The 13 chapters cover a range of mathematical concepts utilized in data science, enabling readers to understand the intricate connection between mathematics and data analysis. The book covers diverse topics, including, machine learning models, the Kalman filter, data modeling, artificial neural networks, clustering techniques, and more, showcasing the application of advanced mathematical tools for effective data processing and analysis. With a strong emphasis on real-world applications, the book offers a deeper understanding of the foundational principles behind data analysis and its numerous interdisciplinary applications. This reference is an invaluable resource for graduate students, researchers, academicians, and learners pursuing a research career in mathematical computing or completing advanced data science courses. Key Features: -Comprehensive coverage of advanced mathematical concepts and techniques in data science.-Contributions from established scientists, researchers, and academicians.-Real-world case studies and practical applications of mathematical methods.-Focus on diverse areas, such as image classification, carbon emission assessment, customer churn prediction, and healthcare data analysis.-In-depth exploration of data science's connection with mathematics, computer science, and artificial intelligence.-Scholarly references for each chapter.-Suitable for readers with high school-level mathematical knowledge, making it accessible to a broad audience in academia and industry.
Mastering Tableau 2023 - Fourth Edition
Build, design, and improve advanced business intelligence solutions using Tableau's newest updates, including new Tableau Desktop, Tableau Prep, and Tableau Server featuresPurchase of the print or Kindle book includes a free PDF eBookKey FeaturesMaster new Tableau 2023 features to solve real-world analytics challengesLearn how to use both pre-defined and your own Machine Learning models in TableauHow to manage Data Governance and secure high data qualityBook DescriptionThis edition of the bestselling Tableau guide will teach you how to leverage Tableau's newest features and offerings in various paradigms of the BI domain. Updated with fresh topics, including the newest features in Tableau Server, Prep, and Desktop, as well as up-to-date examples, this book will take you from mastering essential Tableau concepts to advance functionalities. A chapter on data governance has also been added.Throughout this book, you'll learn how to use Tableau Hyper files and Prep Builder to easily perform data preparation and handling, as well as complex joins, spatial joins, unions, and data blending tasks using practical examples. You'll also get to grips with executing data densification and explore other expert-level examples to help you with calculations, mapping, and visual design using Tableau extensions.Later chapters will teach you all about improving dashboard performance, connecting to Tableau Server, and understanding data visualization with examples. Finally, you'll cover advanced use cases, such as self-service analysis, time series analysis, geo-spatial analysis, and how to connect Tableau to Python and R to implement programming functionalities within Tableau.By the end of this book, you'll have mastered Tableau 2023 and be able to tackle common and advanced challenges in the BI domain.What you will learnLearn about various Tableau components, such as calculated fields, table calculations, and LOD expressionsMaster ETL (Extract, Transform, Load) techniques using Tableau Prep BuilderExplore and implement data storytelling with Python and RUnderstand Tableau Exchange by using accelerators, extensions, and connectorsInteract with Tableau Server to understand its functionalitiesStudy advanced visualizations and dashboard creation techniquesBrush up on powerful self-service analytics, time series analytics, and geo-spatial analyticsFind out why data governance matters and how to implement itWho this book is forThis book is designed for business analysts, business intelligence professionals, and data analysts who want to master Tableau to solve a range of data science and business intelligence problems. Prior exposure to Tableau will help you get to grips with the features more quickly, but it's not a prerequisite.Table of ContentsReviewing the BasicsGetting Your Data ReadyUsing Tableau Prep BuilderLearning about Joins, Blends, and Data StructuresIntroducing Table CalculationsUtilizing OData, Data Densification, Big Data, and Google BigQueryPracticing Level of Detail CalculationsGoing Beyond the BasicsWorking with MapsPresenting with TableauDesigning Dashboards and Best Practices for VisualizationsLeveraging Advanced AnalyticsImproving PerformanceExploring Tableau Server and Tableau CloudIntegrating Programming LanguagesDeveloping Data Governance Practices
The Multidimensional Data Modeling Toolkit
Business intelligence is a huge segment of the software world. Gartner Group estimates that sales in this area surpassed $10 billion in 2010, with Oracle as the second largest vendor in the category. At the heart of these analytical-oriented applications are dimensional data models with OLAP as a critical component for achieving high-performance. If you want to do development work in this area or understand how to maximize its value, read this book. A professional in the world of analytics and business intelligence needs an understanding of OLAP's specific data modeling principles, its analysis capabilities, and its relationship to other analytical approaches. All are presented here in a systematic fashion written in an easy-to-follow style. The Multidimensional Data Modeling Toolkit takes you on an instructional journey into the world of OLAP. It provides a comprehensive examination of data modeling and analytical techniques for the native multi-dimensional information storage framework that Oracle OLAP provides. You will get an in-depth look at OLAP's analytical possibilities as well as comparison with the approaches used in data mining and statistics. You will learn the design issues and get step-by-step programming instructions for solving real-world problems. Written by an expert with over 15 years experience using Oracle OLAP and its predecessors, the book explains critical techniques rarely taught in university or technical training programs. The Multidimensional Data Modeling Toolkit takes you under the covers and shows you what happens inside of Oracle's Analytic Workspaces where the multidimensional magic occurs. Programming instruction is based on the Oracle 10g database, but most of the statements shown will work with other editions of the database, such as Oracle 9i and 11g, and even earlier editions of the technology found in stand-alone products such Oracle Financial Analyzer and Oracle Sales Analyzer The data analysis principles presented are universal and can be applied to application that uses OLAP, for example OBIEE, Essbase, Cognos, Business Objects, and Microsoft Analysis Services (SSAS). Whether you are new to business intelligence or a seasoned practitioner, you should find The Multi-dimensional Data Modeling Toolkit with plenty of valuable insights to offer.
Data Analytics in Marketing, Entrepreneurship, and Innovation
Innovation based in data analytics is a contemporary approach to developing empirically supported advances that encourage entrepreneurial activity inspired by novel marketing inferences. Data Analytics in Marketing, Entrepreneurship, and Innovation covers techniques, processes, models, tools, and practices for creating business opportunities through data analytics. It features case studies that provide realistic examples of applications. This multifaceted examination of data analytics looks at: Business analytics Applying predictive analytics Using discrete choice analysis for decision-making Marketing and customer analytics Developing new products Technopreneurship Disruptive versus incremental innovation The book gives researchers and practitioners insight into how data analytics is used in the areas of innovation, entrepreneurship, and marketing. Innovation analytics helps identify opportunities to develop new products and services, and improve existing methods of product manufacturing and service delivery. Entrepreneurial analytics facilitates the transformation of innovative ideas into strategy and helps entrepreneurs make critical decisions based on data-driven techniques. Marketing analytics is used in collecting, managing, assessing, and analyzing marketing data to predict trends, investigate customer preferences, and launch campaigns.
50 years of Data Science
Dive into the Evolution of Insights: Unveiling Half a Century of Data Mastery! Embark on an exhilarating journey through the captivating world of data science as we unveil the groundbreaking achievements that have shaped the last 50 years. Delve into the pages of this riveting tome to discover the pivotal moments, ingenious breakthroughs, and brilliant minds that have revolutionized the way we understand, analyze, and harness data. ���� Unearth the Past: From the humble origins of data analysis to the cutting-edge technologies of today, witness the remarkable progression of data science across five transformative decades. ���� Visionaries and Innovators: Step into the shoes of visionaries who defied conventions and pushed the boundaries of possibility. Traverse the stories of unsung heroes and renowned luminaries whose dedication and brilliance have paved the way for an era of data-driven enlightenment. ���� Data's New Language: Uncover the codes, algorithms, and methodologies that have deciphered the hidden stories within raw data. Witness how these languages have translated into real-world applications, from healthcare revolutions to financial foresight. ���� A Global Impact: Explore the global reverberations of data science as industries, governments, and societies restructured their landscapes based on newfound insights. Experience the awe-inspiring ripple effects of data-driven decisions. ���� Future Horizons: Peer into the crystal ball of data science and anticipate the forthcoming frontiers. Immerse yourself in the potential of AI, machine learning, and quantum computing as we stand on the precipice of even more astonishing advancements. With meticulous research, captivating narratives, and exclusive insights from the pioneers themselves, this book is an indispensable guide for both novices and experts in the realm of data science. Whether you're a curious mind or a seasoned professional, you won't want to miss this opportunity to grasp the profound impact of data on our past, present, and boundless future. Unlock the door to unparalleled wisdom and join us on an expedition through the digital ages, as we celebrate the monumental achievements that have defined a half-century of data mastery.
Data Analytics Applied to the Mining Industry
Data Analytics Applied to the Mining Industry describes the key challenges facing the mining sector as it transforms into a digital industry able to fully exploit process automation, remote operation centers, autonomous equipment and the opportunities offered by the industrial internet of things. It provides guidelines on how data needs to be collected, stored and managed to enable the different advanced data analytics methods to be applied effectively in practice, through use of case studies, and worked examples. Aimed at graduate students, researchers, and professionals in the industry of mining engineering, this book: Explains how to implement advanced data analytics through case studies and examples in mining engineering Provides approaches and methods to improve data-driven decision making Explains a concise overview of the state of the art for Mining Executives and Managers Highlights and describes critical opportunity areas for mining optimization Brings experience and learning in digital transformation from adjacent sectors
Complex Computational Ecosystems
This book constitutes the proceedings of the First International Conference on Complex Computational Ecosystems, CCE 2023, held in Baku, Azerbaijan, during April 25-27, 2023. The 16 full papers and the 4 keynote abstracts included in this volume were carefully reviewed and selected from 46 submissions. They explore trans-disciplinary challenges that crossed theoretical questions with empirical observations of multi-level and multi-modal computational ecosystems.
Foundations of Data Science
Dive headfirst into the vast ocean of knowledge as you navigate through the meticulously crafted pages of this treasure trove. From unraveling complex algorithms to deciphering the language of patterns, every chapter is a symphony of discovery, composed to guide both novice learners and seasoned data enthusiasts. Crafted with a rare blend of academic rigor and approachable prose, this literary masterpiece transcends mere education. It offers a bridge between theory and real-world application, empowering you to harness the true potential of data to fuel innovation and ignite change. Whether you're a budding data scientist, a curious analyst, or an inquisitive mind, the revelation of these foundational principles will undoubtedly kindle your intellectual fire. Prepare to be captivated by the elegant dance of statistics and logic, where insights gleaned from data take on a life of their own. As you flip through the pages, the authors' unparalleled expertise unfolds like a map, guiding you towards the heart of data science's most intricate enigmas. With a narrative that reads like an adventure, this tome is not just a book; it's a portal to a world where data is the ultimate protagonist, and discovery is the grand finale. The authors' passion leaps from the pages, sparking curiosity and challenging you to engage with concepts that are at once timeless and transformative. Elevate your understanding, broaden your horizons, and tap into the boundless potential of data with this magnum opus. Whether you're an eager learner, a seasoned practitioner, or simply someone drawn to the allure of data's hidden stories, this is your invitation to delve into the Foundations of Data Science.
New Media Pedagogy: Research Trends, Methodological Challenges and Successful Implementations
This volume constitutes selected papers presented during the First International Conference on New Media Pedagogy: Research Trends, Methodological Challenges and Successful Implementations, NMP 2022, held in Krak籀w, Poland, in October 2022. The 20 papers presented were thoroughly reviewed and selected from the 55 qualified submissions. They present recent research in the areas of teacher education in the information society, digitally-enhanced didactics, pedagogical innovations using ICT, e-learning, blended learning, crisis e-learning, digital inclusion and exclusion, identity of media pedagogy, and more.
Document Analysis and Recognition - Icdar 2023
This six-volume set of LNCS 14187, 14188, 14189, 14190, 14191 and 14192 constitutes the refereed proceedings of the 17th International Conference on Document Analysis and Recognition, ICDAR 2021, held in San Jos矇, CA, USA, in August 2023. The 53 full papers were carefully reviewed and selected from 316 submissions, and are presented with 101 poster presentations. The papers are organized into the following topical sections: Graphics Recognition, Frontiers in Handwriting Recognition, Document Analysis and Recognition.
Document Analysis and Recognition - Icdar 2023
This six-volume set of LNCS 14187, 14188, 14189, 14190, 14191 and 14192 constitutes the refereed proceedings of the 17th International Conference on Document Analysis and Recognition, ICDAR 2021, held in San Jos矇, CA, USA, in August 2023. The 53 full papers were carefully reviewed and selected from 316 submissions, and are presented with 101 poster presentations. The papers are organized into the following topical sections: Graphics Recognition, Frontiers in Handwriting Recognition, Document Analysis and Recognition.
Implementation and Application of Automata
This book constitutes the proceedings of the 27th International Conference on Implementation and Application of Automata, CIAA 2023, held in Famagusta, North Cyprus, during September 19-22, 2023. The 20 regular papers presented in this book together with invited talks were carefully reviewed and selected from 30 submissions. The topics of the papers cover various fields in the application, implementation, and theory of automata and related structures.
Database and Expert Systems Applications - Dexa 2023 Workshops
This volume constitutes the refereed proceedings of the workshops held at the 34th International Conference on Database and Expert Systems Applications, DEXA 2023, held in Penang, Malaysia, in August 2023: The 7th International Workshop on Cyber-Security and Functional Safety in Cyber-Physical Systems, IWCFS 2023, and The 3rd International Workshop on AI System Engineering: Math, Modelling and Software, AISys2023. The 7 full papers and 3 short papers were thoroughly reviewed and selected from 20 submissions, and discuss a range of topics including: knowledge discovery, biological data, cyber security, cyber-physical system, machine learning, knowledge graphs, information retriever, data base, and artificial intelligence.
Chinese Computational Linguistics
This book constitutes the refereed proceedings of the 22nd China National Conference on Chinese Computational Linguistics, CCL 2023, Harbin, China, August 3-5, 2023. The 82 full papers included in this book were carefully reviewed and selected from 278 submissions. They were organized in topical sections as follows: ​Fundamental Theory and Methods of Computational Linguistics, Information Retrieval, Dialogue and Question Answering, Text Generation, Dialogue and Summarization, Knowledge Graph and Information Extraction, Machine Translation and Multilingual Information Processing, Language Resource and Evaluation, Pre-trained Language Models, Social Computing and Sentiment Analysis, NLP Applications.
Usable Privacy and Security in Online Public Services
This practice-oriented book is a unique guide to the implementation of usable, privacy-compliant and secure online services in the area of e-government. Beginning with a clarification of basic concepts of usability, data privacy, and cybersecurity, the book provides lucid explanations of different methods (quantitative, qualitative, and mixed methods) that can be applied in the practice of designing, developing, and evaluating online public services in light of both usability criteria and data privacy and IT security compliance. A number of examples and exercises are included as well as awareness-raising measures that can serve as orientation both for practitioners and for teaching purposes. There is also a concise glossary of terms along with recommendations for further reading.This book provides comprehensive coverage of usability, data privacy and information security topics. At the time of going to press, it is also up to date with respect to the implementation of the EUSingle Digital Gateway regulation. It is therefore aimed at anyone interested in understanding the principles of usable privacy and information security and in ways of contributing to the design, development, and evaluation of online public services that satisfy the needs of the public. The book's audience thus includes not only students in the areas of e-government or public administration but also professionals developing online services or e-government applications.
Non-Intrusive Methodologies for Large Area Urban Research
Non-Intrusive Methodologies for Large Area Urban Research brings together contributions from a conference held in 2021 in association with the ERC-funded 'Rome Transformed' research project. The papers address a major challenge in archaeology. Non-intrusive research in pursuit of a deeper understanding of urban areas can be both richly informative and cost-effective. Multiple successes in the field have led to an impressive array of innovative methodologies, methodologies that are frequently combined for still greater insight and impact. Geophysical surveys, the use of UAVs, the study of exposed historic structures and the exhaustive examination of archival records can all play a vital role, and the development of these data capture methodologies is of the utmost importance for the future of research. As well as advances in data capture methodologies, however, the papers also present case studies in the management of the big data generated and in the integration of different methodologies. A further strength of this collection lies in the range of site types considered. While many projects have historically pursued non-intrusive research in areas relatively clear of modern buildings, a growing number of research initiatives, such as 'Rome Transformed' are seeking to advance them in areas which remain densely occupied. Accordingly the material presented here will also be of interest to non-archaeologists working in such diverse fields as civil engineering, urban planning and physical geography.
Visualization
Have you ever desired the ability to metamorphose into an improved individual or an enhanced version of yourself? Have you ever pondered the existence of individuals in the world who appear to be invincible or beyond reach? Have you ever pondered the reasons behind why certain individuals attract specific qualities in life that appear unattainable for you to achieve?You have the ability to overcome these challenging circumstances and direct your attention towards the various facets of your desired self. Regardless of the number of mistakes we have made, each one of us has the ability to attain our goals. The crucial aspect lies in maintaining one's trajectory and acquiring knowledge about the most effective and ineffective approaches. The Guide for Novices provides comprehensive instructions!Creative visualization techniques harness the cognitive faculties of the human mind. An aspect of its functionality lies in empowering individuals to triumph over and eradicate their dread of failure. The apprehension associated with potential failure hinders individuals from exerting their utmost efforts and impedes their ability to demonstrate resolute determination in pursuit of their objectives. An individual's potential for success is often hindered by their fears, resulting in a lack of exceptional achievement and rather an average and risk-averse performance. Creative visualization eliminates the possibility of mediocrity, as it grants individuals the chance to envision their success by meticulously visualizing the intricacies of their plans and endeavors.
Visualization
Individuals make attempts to cultivate positivity at various stages of their existence. Instances of crashes and software defects are reasonably tolerable, particularly in situations wherein one lacks a proactive support network. I find it incredibly challenging to overcome this.Creative visualization, functioning as a cognitive method, likewise amplifies an individual's inclination and dedication towards the attainment of their goals. Due to the fact that creative visualization instills a favorable and optimistic perception of accomplishment, individuals who engage in this technique often encounter a profound feeling of personal empowerment. It instills an individual with the necessary self-assurance to undertake the necessary measures for the attainment of his objectives.It is evident that a considerable number of accomplished individuals in contemporary times attain success as a direct result of their unwavering enthusiasm and conviction in their capabilities. Successful individuals predominantly possess an optimistic outlook and exhibit unwavering determination in their relentless pursuit of their objectives.
Visualization
This methodology utilizes the principle of optimistic mindset and incorporates the utilization of all sensory faculties - visual perception, auditory perception, tactile perception, gustatory perception, and olfactory perception. It serves as a potent instrument which effectively conveys an individual's self-assurance and exerts a profound influence on their personal disposition as well as on the surrounding milieu.Achieving significant accomplishments is a challenging endeavor, and a considerable advantage can be gained by understanding the methods to align one's mind in support of one's goals. The brain operates as a proficient problem-solver, wherein providing explicit instructions regarding your intentions would effectively streamline the process of achieving your objectives. By doing so, the brain would aptly guide you towards undertaking the requisite actions essential for actualizing those goals.Selling an architectural design can prove challenging unless accompanied by at least a visual representation. Given the paramount importance of architectural visualization in bolstering the marketing efficacy of your project, individuals of distinguished caliber such as developers, architects, interior designers, or home builders would significantly enhance their expertise by acquainting themselves with this integral facet of the design process.
Perspectives in Business Informatics Research
This book constitutes the proceedings of the 22nd International Conference on Perspectives in Business Informatics Research, BIR 2023, which took place in Ascoli Piceno, Italy, in September 2023. The 20 full and 4 short papers included in these proceedings were carefully reviewed and selected from 57 submissions. They cover different aspects of the discipline and are organized in sections on applied business informatics, ICT governance and management, AI applications and use cases in business, business and IS development, and new trends in data governance.
Innovation Practices for Digital Transformation in the Global South
This book is a collection of chapters from the IFIP working groups 13.8 and 9.4. The 10 papers included present experiences and research on the topic of digital transformation and innovation practices in the global south. The topics span from digital transformation initiatives to novel innovative technological developments, practices and applications of marginalised people in the global south.
Data Mesh Design
Design and implement a data lakehouse using technology-driven simplifications and generalizations. The approach you will learn enables consolidating even incoherent data from multiple source systems across complex enterprise environments. The precise business question does not need to be known in advance and can even change over time. The approach lends itself well to federated, cooperating data mesh nodes. The individual components, called mini-marts, are like the "data part" of a data quantum and are interoperable. We describe data model blueprints to generalize dimensions with synonyms and facts at different granularities. Includes code examples using complex hierarchies as they exist in heterogenous real-world go-to-market organizations.
Advances in Databases and Information Systems
This book constitutes the proceedings of the 27th European Conference on Advances in Databases and Information Systems, ADBIS 2023, held in Barcelona, Spain, during September 4-7, 2023. The 11 full papers presented in this book together with 3 keynotes and tutorials were carefully reviewed and selected from 77 submissions. The papers are organized in the following topical sections: keynote talk and tutorials; query processing and data exploration, data science and fairness and Data and Metadata Quality
Manifesting
According to the principle of the law of attraction, any positive or negative occurrences that transpire in one's life are believed to have been drawn to them through their own volition. In order to procure abundance, it is imperative to possess the capability to draw the appropriate energy towards oneself and foster its presence in one's surroundings. It is imperative to possess the ability to draw positivity instead of negativity. Each and every individual among us possesses the inherent ability to draw towards oneself all the desired elements, provided that one cultivates the appropriate mindset and cultivates an optimal level of vigor.In the contents of this extraordinary manual on manifestation, you will uncover the deep-seated impact exerted by your thoughts and beliefs in shaping the fabric of your reality. Regardless of your ambitions, whether they involve discovering romantic affection, attaining professional triumph, embarking on a prosperous entrepreneurial endeavor, or enriching your overall state of health and happiness, rest assured that the 369 Method will provide you with the necessary guidance to manifest your profound aspirations.Love can solely be bestowed upon you, unreservedly. To cultivate such a profound and nurturing connection, one must acquire proficiency in the art of being receptive. What does this mean? It indicates that the initial phase in materializing love entails altering one's perspective on the essential components required to attract a well-suited partner.
Manifesting
Through the valuable insights and practical exercises imparted within the pages of this book, you will attain a profound comprehension of the process of manifestation and procure the necessary instruments to manifest your aspirations with utmost clarity, purpose, and resolute conviction. There are no limits to your dreams, and no aspirations are beyond your grasp when you tap into the remarkable potential that resides within you.Uncover potent techniques for manifestation that have proven efficacy, including bolstering confidence and engaging in positive affirmations, harnessing the transformative potential of gratitude, purposeful journaling, crafting a visual representation of aspirations through a vision board, and a myriad of other impactful approaches. Discover the concealed strategies to materializing abundance, prosperity, accomplishment, affection, joy, and even wellbeing and physical fitness!What benefits do you derive from the act of realizing your aspirations, drawing abundance into your life, and leading a life filled with meaning and satisfaction? Through the utilization of the Law of Attraction, the comprehensive methods and guidance elucidated in "Manifesting" bestow upon you the means to not only attain accomplishment but also to embrace adoration, opulence, and robust well-being, thus enabling the manifestation of your ideal existence!
New Trends in Database and Information Systems
This book constitutes the refereed proceedings of the Doctoral Consortium and Workshops on New Trends in Database and Information Systems, ADBIS 2023, held in Barcelona, Spain, during September 4-7, 2023.The 29 full papers, 25 short papers and 7 doctoral consortium included in this book were carefully reviewed and selected from 148. They were organized in topical sections as follows: ADBIS Short Papers: Index Management & Data Reconstruction, ADBIS Short Papers: Query Processing, ADBIS Short Papers: Advanced Querying Techniques, ADBIS Short Papers: Fairness in Data Management, ADBIS Short Papers: Data Science, ADBIS Short Papers: Temporal Graph Management, ADBIS Short Papers: Consistent Data Management, ADBIS Short Papers: Data Integration, ADBIS Short Papers: Data Quality, ADBIS Short Papers: Metadata Management, Contributions from ADBIS 2023 Workshops and Doctoral Consortium, AIDMA: 1st Workshop on Advanced AI Techniques for Data Management, Analytics, DOING: 4th Workshop on Intelligent Data - From Data to Knowledge, K-Gals: 2nd Workshop on Knowledge Graphs Analysis on a Large Scale, MADEISD: 5th Workshop on Modern Approaches in Data Engineering, Information System Design, PeRS: 2nd Workshop on Personalization, Recommender Systems, Doctoral Consortium.
