DocumentCode :
150026
Title :
Overview: Weblog mining, privacy issues and application of Web Log mining
Author :
Yumnam, Amarjeet Singh ; Sreeram, Y. Chaitanya ; Naeem, Shaik Abdul
Author_Institution :
SITE, VIT Univ., Vellore, India
fYear :
2014
fDate :
5-7 March 2014
Firstpage :
638
Lastpage :
641
Abstract :
In this decade there is a nonlinear growth in the data available on the World Wide Web, with this growth there arises a need for finding and analyzing useful data available on the web. The behavior of webpage and how the users use the web can be found in the weblog. The process of extracting knowledge from weblog is called Web Log mining. This extracted knowledge can be used to enhance the quality of information being shared on the web. Web log are generally noisy and ambiguous, so data preprocessing is an very important step in Data mining. This paper gives overview on weblog mining using decision tree, privacy issues and a glimpse of various applications of web log mining.
Keywords :
data mining; decision trees; Web log mining; Web page; Weblog mining; World Wide Web; data mining; data preprocessing; decision tree; nonlinear growth; privacy issues; Cleaning; Data mining; Data preprocessing; Decision trees; Privacy; Web pages; Decision tree; Preprocessing; Privacy Issue; Web log mining; knowledge extraction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computing for Sustainable Global Development (INDIACom), 2014 International Conference on
Conference_Location :
New Delhi
Print_ISBN :
978-93-80544-10-6
Type :
conf
DOI :
10.1109/IndiaCom.2014.6828040
Filename :
6828040
Link To Document :
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