Web User Access Behavior Analysis & Prediction: An Association Rule mining Approach using Map-Reduce Framework on Apache Spark

Sisodia, Dilip Singh/ Singhal, Riya/ Khandal, Vijay

ISBN 10: 6202076496 / ISBN 13: 9786202076494

Published by LAP LAMBERT Academic Publishing, 2017

About this Item

92 pages. 8.66x5.91x0.21 inches. In Stock.

Seller Inventory # zk6202076496

Bibliographic Details

• Title: Web User Access Behavior Analysis & Prediction: An Association Rule mining Approach using Map-Reduce Framework on Apache Spark
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2017
• Language: English
• ISBN 10: 6202076496
• ISBN 13: 9786202076494
• Binding: Paperback
• Condition: Brand New
• Weight: 0.19 kilograms

About this title

Synopsis

The analysis of Web users browsing behaviors is essential for putting appropriate information on the web. The browsing behaviors are stored as navigational patterns in web server logs. These weblogs are used to predict the frequently accessed patterns of web users, which can be used to predict user behavior and to collect business intelligence. However, owing to the exponentially increasing weblog size, existing implementations of frequent pattern mining algorithms often takes too much time and generate too many redundant patterns. This book discussed new association rule mining algorithms implemented on the Apache Spark platform for extracting frequent patterns from huge weblogs.

About the Author

Vijay Khandal & Riya Singhal received their B.Tech. degrees in computer science & engineering respectively with honours and gold medal in 2016 from National Institute of Technology Raipur. Dr. Dilip Singh Sisodia is an assistant professor with the department of computer science engineering,National Institute of Technology Raipur.