Web Mining And Data In Business Intelligence

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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!

Web Data Mining

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Author : Bing Liu
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-06-25

Web Data Mining written by Bing Liu 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 2011-06-25 with Computers categories.

Liu has written a comprehensive text on Web mining, which consists of two parts. The first part covers the data mining and machine learning foundations, where all the essential concepts and algorithms of data mining and machine learning are presented. The second part covers the key topics of Web mining, where Web crawling, search, social network analysis, structured data extraction, information integration, opinion mining and sentiment analysis, Web usage mining, query log mining, computational advertising, and recommender systems are all treated both in breadth and in depth. His book thus brings all the related concepts and algorithms together to form an authoritative and coherent text. The book offers a rich blend of theory and practice. It is suitable for students, researchers and practitioners interested in Web mining and data mining both as a learning text and as a reference book. Professors can readily use it for classes on data mining, Web mining, and text mining. Additional teaching materials such as lecture slides, datasets, and implemented algorithms are available online.

Data Mining For Business Analytics

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Author : Galit Shmueli
language : en
Publisher: John Wiley & Sons
Release Date : 2019-10-14

Data Mining For Business Analytics written by Galit Shmueli 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 2019-10-14 with Mathematics categories.

Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python presents an applied approach to data mining concepts and methods, using Python software for illustration Readers will learn how to implement a variety of popular data mining algorithms in Python (a free and open-source software) to tackle business problems and opportunities. This is the sixth version of this successful text, and the first using Python. It covers both statistical and machine learning algorithms for prediction, classification, visualization, dimension reduction, recommender systems, clustering, text mining and network analysis. It also includes: A new co-author, Peter Gedeck, who brings both experience teaching business analytics courses using Python, and expertise in the application of machine learning methods to the drug-discovery process A new section on ethical issues in data mining Updates and new material based on feedback from instructors teaching MBA, undergraduate, diploma and executive courses, and from their students More than a dozen case studies demonstrating applications for the data mining techniques described End-of-chapter exercises that help readers gauge and expand their comprehension and competency of the material presented A companion website with more than two dozen data sets, and instructor materials including exercise solutions, PowerPoint slides, and case solutions Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python is an ideal textbook for graduate and upper-undergraduate level courses in data mining, predictive analytics, and business analytics. This new edition is also an excellent reference for analysts, researchers, and practitioners working with quantitative methods in the fields of business, finance, marketing, computer science, and information technology. “This book has by far the most comprehensive review of business analytics methods that I have ever seen, covering everything from classical approaches such as linear and logistic regression, through to modern methods like neural networks, bagging and boosting, and even much more business specific procedures such as social network analysis and text mining. If not the bible, it is at the least a definitive manual on the subject.” —Gareth M. James, University of Southern California and co-author (with Witten, Hastie and Tibshirani) of the best-selling book An Introduction to Statistical Learning, with Applications in R

Data Mining For Business Applications

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Author : Longbing Cao
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-10-03

Data Mining For Business Applications written by Longbing Cao 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 2008-10-03 with Computers categories.

Data Mining for Business Applications presents the state-of-the-art research and development outcomes on methodologies, techniques, approaches and successful applications in the area. The contributions mark a paradigm shift from “data-centered pattern mining” to “domain driven actionable knowledge discovery” for next-generation KDD research and applications. The contents identify how KDD techniques can better contribute to critical domain problems in theory and practice, and strengthen business intelligence in complex enterprise applications. The volume also explores challenges and directions for future research and development in the dialogue between academia and business.

Web Data Mining And Applications In Business Intelligence And Counter Terrorism

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Author : Bhavani Thuraisingham
language : en
Publisher: CRC Press
Release Date : 2003-06-26

Web Data Mining And Applications In Business Intelligence And Counter Terrorism 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 2003-06-26 with Business & Economics categories.

The explosion of Web-based data has created a demand among executives and technologists for methods to identify, gather, analyze, and utilize data that may be of value to corporations and organizations. The emergence of data mining, and the larger field of Web mining, has businesses lost within a confusing maze of mechanisms and strategies for obta

Business Intelligence And Data Mining

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Author : Anil K. Maheshwari
language : en
Publisher:
Release Date : 2014-12-30

Business Intelligence And Data Mining written by Anil K. Maheshwari and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-12-30 with Business & Economics categories.

Data Analytics and Data-based Decision-making are hot topics now. Big Data has entered the common parlance. Many kinds of data are generated by business, social media, machines, and more. Organizations have a choice: they can be buried under the avalanche of data, or they can do something with it to increase competitive advantage. A new field of Data Science is born, and Data Scientist has been called the sexiest job of the decade. Students across a variety of academic departments, including business, computer science, statistics, and engineering are attracted to the idea of discovering new insights and ideas from data. This is a proposal for a short and lucid book on this whole area. It is designed to provide a student with the intuition behind this evolving area, along with a solid toolset of the major data mining techniques and platforms, all within a single semester- or quarter-long course.

Microsoft Data Mining

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Author : Barry de Ville
language : en
Publisher: Digital Press
Release Date : 2001-05

Microsoft Data Mining written by Barry de Ville and has been published by Digital Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001-05 with Computers categories.

This guide teaches data mining from the perspective of IT professionals using Microsoft data management and e-commerce technologies. The book explains major new data mining capabilities in the forthcoming SQL Server 2000, Microsoft Commerce Server, and other products, and details the new Microsoft standard, "OLE DB for Data Mining".

Web Mining

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Author : Anthony Scime
language : en
Publisher: IGI Global
Release Date : 2005-01-01

Web Mining written by Anthony Scime and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-01-01 with Computers categories.

Web Mining is moving the World Wide Web toward a more useful environment in which users can quickly and easily find the information they need. Web Mining uses document content, hyperlink structure, and usage statistics to assist users in meeting their needed information. This book provides a record of current research and practical applications in Web searching. It includes techniques that will improve the utilization of the Web by the design of Web sites, as well as the design and application of search agents. This book presents research and related applications in a manner that encourages additional work toward improving the reduction of information overflow, which is so common today in Web search results.

Mining The World Wide Web

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Author : George Chang
language : en
Publisher: Springer Science & Business Media
Release Date : 2001-07-31

Mining The World Wide Web written by George Chang 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 2001-07-31 with Business & Economics categories.

Mining the World Wide Web: An Information Search Approach explores the concepts and techniques of Web mining, a promising and rapidly growing field of computer science research. Web mining is a multidisciplinary field, drawing on such areas as artificial intelligence, databases, data mining, data warehousing, data visualization, information retrieval, machine learning, markup languages, pattern recognition, statistics, and Web technology. Mining the World Wide Web presents the Web mining material from an information search perspective, focusing on issues relating to the efficiency, feasibility, scalability and usability of searching techniques for Web mining. Mining the World Wide Web is designed for researchers and developers of Web information systems and also serves as an excellent supplemental reference to advanced level courses in data mining, databases and information retrieval.

Business Intelligence In The Digital Economy

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Author : Mahesh S. Raisinghani
language : en
Publisher: IGI Global
Release Date : 2004-01-01

Business Intelligence In The Digital Economy written by Mahesh S. Raisinghani and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-01-01 with Business & Economics categories.

Annotation Business Intelligence in the Digital Economy: Opportunities, Limitations and Risks describes business intelligence (BI), how it is being conducted and managed and its major opportunities, limitations, issues and risks. This book takes an in-depth look at the scope of global technological change and BI. During this transition to BI, information does not merely add efficiency to the transaction; it adds value. This book brings together high quality expository discussions from experts in this field to identify, define, and explore BI methodologies, systems, and approaches in order to understand the opportunities, limitations and risks.