DocumentCode :
3226044
Title :
Terror tracking using advanced web mining perspective
Author :
Anand, T. ; Padmapriya, S. ; Kirubakaran, E.
Author_Institution :
Dept. of Comput. Sci. & Eng., AVC Coll. of Eng., Mayiladuthurai, India
fYear :
2009
fDate :
22-24 July 2009
Firstpage :
1
Lastpage :
4
Abstract :
Web mining is a rapidly growing research area. It consists of Web usage mining, Web structure mining, and Web content mining. Web usage mining refers to the discovery of user access patterns from Web usage logs. Web structure mining tries to discover useful knowledge from the structure of hyperlinks. Web content mining aims to extract/mine useful information or knowledge from Web page contents. Web mining techniques can be used for detecting and avoiding terror threats caused by terrorists all over the world.
Keywords :
Internet; data mining; security of data; Web content mining; Web page content; Web structure mining; Web usage logs; Web usage mining; advanced Web mining; terror tracking; user access pattern discovery; Blogs; Computer science; Counting circuits; Data mining; Information technology; Machine learning; Terrorism; Text mining; Web mining; Web pages; content mining and patterns; structure mining; usage mining;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Agent & Multi-Agent Systems, 2009. IAMA 2009. International Conference on
Conference_Location :
Chennai
Print_ISBN :
978-1-4244-4710-7
Type :
conf
DOI :
10.1109/IAMA.2009.5228034
Filename :
5228034
Link To Document :
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