Mining the World Wide Web

Mining the World Wide Web
Author: George Chang
Publisher: Springer Science & Business Media
Total Pages: 180
Release: 2012-12-06
Genre: Computers
ISBN: 1461516390

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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.

Web Mining

Web Mining
Author: Anthony Scime
Publisher: IGI Global
Total Pages: 454
Release: 2005-01-01
Genre: Computers
ISBN: 9781591404149

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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 Web

Mining the Web
Author: Soumen Chakrabarti
Publisher: Morgan Kaufmann
Total Pages: 366
Release: 2002-10-09
Genre: Computers
ISBN: 1558607544

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The definitive book on mining the Web from the preeminent authority.

Advances in Network Security and Applications

Advances in Network Security and Applications
Author: David C. Wyld
Publisher: Springer Science & Business Media
Total Pages: 677
Release: 2011-06-30
Genre: Computers
ISBN: 364222539X

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This book constitutes the proceedings of the 4th International Conference on Network Security and Applications held in Chennai, India, in July 2011. The 63 revised full papers presented were carefully reviewed and selected from numerous submissions. The papers address all technical and practical aspects of security and its applications for wired and wireless networks and are organized in topical sections on network security and applications, ad hoc, sensor and ubiquitous computing, as well as peer-to-peer networks and trust management.

Web Searching and Mining

Web Searching and Mining
Author: Debajyoti Mukhopadhyay
Publisher: Springer
Total Pages: 166
Release: 2018-12-12
Genre: Computers
ISBN: 9811330530

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This book presents the basics of search engines and their components. It introduces, for the first time, the concept of Cellular Automata in Web technology and discusses the prerequisites of Cellular Automata. In today’s world, searching data from the World Wide Web is a common phenomenon for virtually everyone. It is also a fact that searching the tremendous amount of data from the Internet is a mammoth task – and handling the data after retrieval is even more challenging. In this context, it is important to understand the need for space efficiency in data storage. Though Cellular Automata has been utilized earlier in many fields, in this book the authors experiment with employing its strong mathematical model to address some critical issues in the field of Web Mining.

Web Mining Applications in E-Commerce and E-Services

Web Mining Applications in E-Commerce and E-Services
Author: I-Hsien Ting
Publisher: Springer Science & Business Media
Total Pages: 181
Release: 2009-01-24
Genre: Mathematics
ISBN: 3540880801

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Web mining has become a popular area of research, integrating the different research areas of data mining and the World Wide Web. According to the taxonomy of Web mining, there are three sub-fields of Web-mining research: Web usage mining, Web content mining and Web structure mining. These three research fields cover most content and activities on the Web. With the rapid growth of the World Wide Web, Web mining has become a hot topic and is now part of the mainstream of Web - search, such as Web information systems and Web intelligence. Among all of the possible applications in Web research, e-commerce and e-services have been iden- fied as important domains for Web-mining techniques. Web-mining techniques also play an important role in e-commerce and e-services, proving to be useful tools for understanding how e-commerce and e-service Web sites and services are used, e- bling the provision of better services for customers and users. Thus, this book will focus upon Web-mining applications in e-commerce and e-services. Some chapters in this book are extended from the papers that presented in WMEE 2008 (the 2nd International Workshop for E-commerce and E-services). In addition, we also sent invitations to researchers that are famous in this research area to contr- ute for this book. The chapters of this book are introduced as follows: In chapter 1, Peter I.

Data Mining the Web

Data Mining the Web
Author: Zdravko Markov
Publisher: John Wiley & Sons
Total Pages: 236
Release: 2007-04-06
Genre: Computers
ISBN: 0470108088

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This book introduces the reader to methods of data mining on the web, including uncovering patterns in web content (classification, clustering, language processing), structure (graphs, hubs, metrics), and usage (modeling, sequence analysis, performance).

Web Usage Mining Techniques and Applications Across Industries

Web Usage Mining Techniques and Applications Across Industries
Author: Kumar, A.V. Senthil
Publisher: IGI Global
Total Pages: 448
Release: 2016-08-12
Genre: Computers
ISBN: 1522506144

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Web usage mining is defined as the application of data mining technologies to online usage patterns as a way to better understand and serve the needs of web-based applications. Because the internet has become a central component in information sharing and commerce, having the ability to analyze user behavior on the web has become a critical component to a variety of industries. Web Usage Mining Techniques and Applications Across Industries addresses the systems and methodologies that enable organizations to predict web user behavior as a way to support website design and personalization of web-based services and commerce. Featuring perspectives from a variety of sectors, this publication is designed for use by IT specialists, business professionals, researchers, and graduate-level students interested in learning more about the latest concepts related to web-based information retrieval and mining.

Web Data Mining

Web Data Mining
Author: Bing Liu
Publisher: Springer Science & Business Media
Total Pages: 637
Release: 2011-06-25
Genre: Computers
ISBN: 3642194605

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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.

The Professional's Guide to Mining the Internet

The Professional's Guide to Mining the Internet
Author: Brian Clegg
Publisher: Routledge
Total Pages: 151
Release: 2005-10-20
Genre: Education
ISBN: 1135726485

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Whatever is needed, from in-depth research material for a report or academic paper, to the telephone number of a company on the other side of the world or what is showing at the local cinema, this guide aims to help readers find the answer on the internet, faster and more easily.