Data On The Web
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Linked Data
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Author : Glen Hart
language : en
Publisher: CRC Press
Release Date : 2016-04-19
Linked Data written by Glen Hart and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-04-19 with Computers categories.
Linked Data opens up structured data from databases to be searched and queried via the web, and a geographic element is increasingly being used to link to those data. This book helps you understand how to organize and describe data that includes geographic content and how to publish it as Linked Data for the Semantic Web, as well as explaining the benefits of doing so. In easy-to-understand terms, it equips you with the knowledge you need to think about Geographic Information through the lens of the Semantic Web.
Data Mining
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Author : Bhavani Thuraisingham
language : en
Publisher: CRC Press
Release Date : 2014-01-23
Data Mining written by Bhavani Thuraisingham and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-01-23 with Business & Economics categories.
Focusing on a data-centric perspective, this book provides a complete overview of data mining: its uses, methods, current technologies, commercial products, and future challenges. Three parts divide Data Mining: Part I describes technologies for data mining - database systems, warehousing, machine learning, visualization, decision sup
The Data Industry
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Author : Chunlei Tang
language : en
Publisher: John Wiley & Sons
Release Date : 2016-06-13
The Data Industry written by Chunlei Tang and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-06-13 with Mathematics categories.
Provides an introduction of the data industry to the field of economics This book bridges the gap between economics and data science to help data scientists understand the economics of big data, and enable economists to analyze the data industry. It begins by explaining data resources and introduces the data asset. This book defines a data industry chain, enumerates data enterprises’ business models versus operating models, and proposes a mode of industrial development for the data industry. The author describes five types of enterprise agglomerations, and multiple industrial cluster effects. A discussion on the establishment and development of data industry related laws and regulations is provided. In addition, this book discusses several scenarios on how to convert data driving forces into productivity that can then serve society. This book is designed to serve as a reference and training guide for ata scientists, data-oriented managers and executives, entrepreneurs, scholars, and government employees. Defines and develops the concept of a “Data Industry,” and explains the economics of data to data scientists and statisticians Includes numerous case studies and examples from a variety of industries and disciplines Serves as a useful guide for practitioners and entrepreneurs in the business of data technology The Data Industry: The Business and Economics of Information and Big Data is a resource for practitioners in the data science industry, government, and students in economics, business, and statistics. CHUNLEI TANG, Ph.D., is a research fellow at Harvard University. She is the co-founder of Fudan’s Institute for Data Industry and proposed the concept of the “data industry”. She received a Ph.D. in Computer and Software Theory in 2012 and a Master of Software Engineering in 2006 from Fudan University, Shanghai, China.
Web Data Mining And The Development Of Knowledge Based Decision Support Systems
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Author : Sreedhar, G.
language : en
Publisher: IGI Global
Release Date : 2016-12-21
Web Data Mining And The Development Of Knowledge Based Decision Support Systems written by Sreedhar, G. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-12-21 with Computers categories.
Websites are a central part of today’s business world; however, with the vast amount of information that constantly changes and the frequency of required updates, this can come at a high cost to modern businesses. Web Data Mining and the Development of Knowledge-Based Decision Support Systems is a key reference source on decision support systems in view of end user accessibility and identifies methods for extraction and analysis of useful information from web documents. Featuring extensive coverage across a range of relevant perspectives and topics, such as semantic web, machine learning, and expert systems, this book is ideally designed for web developers, internet users, online application developers, researchers, and faculty.
Linked Data
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Author : Tom Heath
language : en
Publisher: Morgan & Claypool Publishers
Release Date : 2011-02-02
Linked Data written by Tom Heath and has been published by Morgan & Claypool Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-02-02 with Computers categories.
The World Wide Web has enabled the creation of a global information space comprising linked documents. As the Web becomes ever more enmeshed with our daily lives, there is a growing desire for direct access to raw data not currently available on the Web or bound up in hypertext documents. Linked Data provides a publishing paradigm in which not only documents, but also data, can be a first class citizen of the Web, thereby enabling the extension of the Web with a global data space based on open standards - the Web of Data. In this Synthesis lecture we provide readers with a detailed technical introduction to Linked Data. We begin by outlining the basic principles of Linked Data, including coverage of relevant aspects of Web architecture. The remainder of the text is based around two main themes - the publication and consumption of Linked Data. Drawing on a practical Linked Data scenario, we provide guidance and best practices on: architectural approaches to publishing Linked Data; choosing URIs and vocabularies to identify and describe resources; deciding what data to return in a description of a resource on the Web; methods and frameworks for automated linking of data sets; and testing and debugging approaches for Linked Data deployments. We give an overview of existing Linked Data applications and then examine the architectures that are used to consume Linked Data from the Web, alongside existing tools and frameworks that enable these. Readers can expect to gain a rich technical understanding of Linked Data fundamentals, as the basis for application development, research or further study. Table of Contents: List of Figures / Introduction / Principles of Linked Data / The Web of Data / Linked Data Design Considerations / Recipes for Publishing Linked Data / Consuming Linked Data / Summary and Outlook
Filtering The Web To Feed Data Warehouses
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Author : Witold Abramowicz
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-06-28
Filtering The Web To Feed Data Warehouses written by Witold Abramowicz and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-06-28 with Computers categories.
Information is a key factor in business today, and data warehousing has become a major activity in the development and management of information systems to support the proper flow of information. Unfortunately, the majority of information systems are based on structured information stored in organizational databases, which means that the company is isolated from the business environment by concentrating on their internal data sources only. It is therefore vital that organizations take advantage of external business information, which can be retrieved from Internet services and mechanically organized within the existing information structures. Such a continuously extending integrated collection of documents and data could facilitate decision-making processes in the organization. Filtering the Web to Feed Data Warehouses discusses areas such as: - how to use data warehouse for filtering Web content - how to retrieve relevant information from diverse sources on the Web - how to handle the time aspect - how to mechanically establish links among data warehouse structures and documents filtered from external sources - how to use collected information to increase corporate knowledge and gives a comprehensive example, illustrating the idea of supplying data warehouses with relevant information filtered from the Web.
Essential Data Analytics Data Science And Ai
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Author : Maxine Attobrah
language : en
Publisher: Springer Nature
Release Date : 2024-12-18
Essential Data Analytics Data Science And Ai written by Maxine Attobrah and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-18 with Computers categories.
In today’s world, understanding data analytics, data science, and artificial intelligence is not just an advantage but a necessity. This book is your thorough guide to learning these innovative fields, designed to make the learning practical and engaging. The book starts by introducing data analytics, data science, and artificial intelligence. It illustrates real-world applications, and, it addresses the ethical considerations tied to AI. It also explores ways to gain data for practice and real-world scenarios, including the concept of synthetic data. Next, it uncovers Extract, Transform, Load (ETL) processes and explains how to implement them using Python. Further, it covers artificial intelligence and the pivotal role played by machine learning models. It explains feature engineering, the distinction between algorithms and models, and how to harness their power to make predictions. Moving forward, it discusses how to assess machine learning models after their creation, with insights into various evaluation techniques. It emphasizes the crucial aspects of model deployment, including the pros and cons of on-device versus cloud-based solutions. It concludes with real-world examples and encourages embracing AI while dispelling fears, and fostering an appreciation for the transformative potential of these technologies. Whether you’re a beginner or an experienced professional, this book offers valuable insights that will expand your horizons in the world of data and AI. What you will learn: What are Synthetic data and Telemetry data How to analyze data using programming languages like Python and Tableau. What is feature engineering What are the practical Implications of Artificial Intelligence Who this book is for: Data analysts, scientists, and engineers seeking to enhance their skills, explore advanced concepts, and stay up-to-date with ethics. Business leaders and decision-makers across industries are interested in understanding the transformative potential and ethical implications of data analytics and AI in their organizations.
Advanced Data Mining
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Author : Dr.V.Vijayalakshmi
language : en
Publisher: SK Research Group of Companies
Release Date : 2023-05-24
Advanced Data Mining written by Dr.V.Vijayalakshmi and has been published by SK Research Group of Companies this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-24 with Computers categories.
Dr.V.Vijayalakshmi, Assistant Professor & Head, PG & Research Department of Computer Science, Government Arts College, Ariyalur, Tamil Nadu, India. Mr.R.Senthamizh Selvan, Assistant Professor, PG & Research Department of Computer Science, Government Arts College, Ariyalur, Tamil Nadu, India.
Web Mining And Data In Business Intelligence
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Author : Pasquale De Marco
language : en
Publisher: Pasquale De Marco
Release Date : 2025-07-24
Web Mining And Data In Business Intelligence written by Pasquale De Marco and has been published by Pasquale De Marco this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-24 with Computers categories.
**Web Mining and Data in Business Intelligence** provides a comprehensive overview of the field of web mining, covering topics such as data mining fundamentals, web data mining, business intelligence with web data, counter-terrorism applications of web data mining, web data mining tools and techniques, ethical issues in web data mining, trends and innovations in web data mining, web data mining in e-commerce, web data mining in healthcare, and web data mining in education. The book is written in a clear and concise style, with numerous examples and case studies to illustrate the concepts and techniques discussed. It is an essential resource for anyone who wants to learn more about web mining and its applications in business intelligence and counter-terrorism. **Web Mining and Data in Business Intelligence** is a valuable resource for business professionals, government officials, and researchers who want to learn more about the latest trends and innovations in web mining. The book provides a comprehensive overview of the field, covering topics such as data mining fundamentals, web data mining, business intelligence with web data, counter-terrorism applications of web data mining, web data mining tools and techniques, ethical issues in web data mining, trends and innovations in web data mining, web data mining in e-commerce, web data mining in healthcare, and web data mining in education. The book is written in a clear and concise style, with numerous examples and case studies to illustrate the concepts and techniques discussed. It is an essential resource for anyone who wants to learn more about web mining and its applications in business intelligence and counter-terrorism. **Web Mining and Data in Business Intelligence** is a must-read for anyone who wants to stay ahead of the curve in the field of web mining. The book provides a comprehensive overview of the field, covering the latest trends and innovations. It is an essential resource for business professionals, government officials, and researchers who want to learn more about web mining and its applications in business intelligence and counter-terrorism. **Key Features** * Comprehensive coverage of the field of web mining * Clear and concise writing style * Numerous examples and case studies * Essential resource for business professionals, government officials, and researchers **Target Audience** * Business professionals who want to learn more about web mining * Government officials who want to learn more about web mining * Researchers who want to learn more about web mining If you like this book, write a review!
Linking Enterprise Data
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Author : David Wood
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-11-10
Linking Enterprise Data written by David Wood and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-11-10 with Computers categories.
Enterprise data is growing at a much faster rate than traditional technologies allow. New enterprise architectures combining existing technologies are desperately needed. This book suggests a way forward by applying new techniques of the World Wide Web to enterprise information systems. Linking Enterprise Data is an edited volume contributed by worldwide leaders in Semantic Web and Linked Data research, standards development and adoption. Linking enterprise data is the application of World Wide Web architecture principles to real-world information management issues faced by commercial, not-for-profit and government enterprises. This book is divided into four sections: Benefits of applying Linked Data principles in enterprise settings, enterprise approval and support of Linked Data projects, specific Linked Data techniques and a number of real-world success stories from early enterprise adopters. Linking Enterprise Data targets professionals working as CTOs, CIOs, enterprise architects, project managers and application developers in commercial, not-for-profit and government organizations concerned with scalability, flexibility and robustness of information management systems. Computer science graduate students and researchers focusing on enterprise information integration will also benefit.