Web Usage Mining Techniques and Applications Across Industries

Web Usage Mining Techniques and Applications Across Industries

A.V. Senthil Kumar
Indexed In: SCOPUS
Release Date: August, 2016|Copyright: © 2017 |Pages: 424
DOI: 10.4018/978-1-5225-0613-3
ISBN13: 9781522506133|ISBN10: 1522506136|EISBN13: 9781522506140
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Description & Coverage
Description:

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.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Algorithms
  • Data Processing
  • Information Retrieval
  • Pattern Analysis
  • Web Browsing Behavior
  • Web Data Extraction
  • Web Data Repositories
Reviews & Statements

Web usage mining is the application of data mining technologies to discover interesting usage patterns from web data in order to understand and better serve the needs of web-based applications. The burgeoning amount of information available in the websites simultaneously created the challenge of retrieving precise and appropriate information as needed. This book will provide the application of data mining techniques to the usage logs of large web data repositories in order to produce results that can be applied to practical subjects, such as improving websites/pages making additional topic or product recommendations, user/customer behavior studies, among others.

– Protoview Reviews
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Editor/Author Biographies
A. V. Senthil Kumar obtained his BSc Degree (Physics) in 1987, P.G.Diploma in Computer Applications in 1988, MCA in 1991 from Bharathiar University. He obtained his Master of Philosophy in Computer Science from Bharathidasan University, Trichy during 2005 and his Ph.D in Computer Science from Vinayaka Missions University during 2009. To his credit he has industrial experience for five years as System Analyst in a Garment Export Company. Later he took up teaching and attached to CMS College of Science and Commerce, Coimbatore and now he is working as a Director & Professor in the Department of Research and PG in Computer Applications, Hindusthan College of Arts and Science, Coimbatore, India since 05/03/2010. He has to his credit 5 Book Chapters, 74 papers in International Journals, 2 papers in National Journals, 22 papers in International Conferences, 5 papers in National Conferences, and edited three books in Data Mining, Mobile Computing, and in Fuzzy Expert Systems (IGI Global, USA). He is an Editor-in-Chief for 5 International Journals. Key Member for India, Machine Intelligence Research Lab (MIR Labs). He is an Editorial Board Member and Reviewer for various International Journals. He is also a Committee member for various International Conferences. He is a Life member of International Association of Engineers (IAENG), Systems Society of India (SSI), member of The Indian Science Congress Association, member of Internet Society (ISOC), International Association of Computer Science and Information Technology (IACSIT), Indian Association for Research in Computing Science (IARCS), and committee member for various International Conferences. He has got many awards from National and International Societies.
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