AN EFFICIENT WAY OF WEB DATA MINING       TO DETECT ONLINE SPREAD OF TERRORISM

( An International Open Access , Peer-reviewed, Refereed Journal )

IJIRTEXPLORE- Search Thousands of research papers

ISSN: 2349-6002 ESTD Year: 2014

UGC approved journal no 47859

AN EFFICIENT WAY OF WEB DATA MINING TO DETECT ONLINE SPREAD OF TERRORISM
Author(s):
Akash Mishra , Adarsh Pandey
Keywords:

Abstract
Terrorism has grown its roots quite deep in certain parts of the world. With increasing terrorist activities, it has become important to curb terrorism and stop its spread before a certain time. So as identified internet is a major source of spreading terrorism through speeches and videos. . So here we propose an efficient web data mining system to detect such web properties and flag them automatically for human review. With development in technology, internet has become a medium of spreading terrorism through speeches and videos. Terrorist organizations use the medium of the internet to harm and defame individuals and also promote terrorist activities through web pages that force people to join terrorist organizations and commit crimes on the behalf of those organizations. To reduce the human effort, we implement the system which detects terrorist groups in social media. To implement this idea we are in need of a lot of human effort to gather the information and find out the terrorist groups who are involved in. It paves the way to reduce the human effort.
Article Details
Unique Paper ID: 151841 Publication Volume & Issue: Volume 8, Issue 1 Page(s): 841 - 843
Article Preview & Download

Share This Article

International conference on Management, Science, Technology, Engineering, Pharmact and Humanities.

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org