Web Usage Mining Techniques and Applications Across Industries

A. V. Senthil Kumar

ISBN 10: 1522506136 / ISBN 13: 9781522506133

Edité par Information Science Reference, 2016

A propos de cet article

nach der Bestellung gedruckt Neuware - Printed after ordering - 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. N° de réf. du vendeur 9781522506133

Détails bibliographiques

Titre : Web Usage Mining Techniques and Applications...

Éditeur : Information Science Reference

Date d'édition : 2016

Reliure : Buch

Etat : Neu

A propos de ce titre

Synopsis :

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.

À propos de l?auteur:

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.