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

Conference Alert

ICM - STEP

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

Go To Issue



Call For Paper

Volume 7 Issue 9

Last Date 25 February 2020

About Us

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

Social Media

Google Verified Reviews

Contact Details

Telephone:6351679790
Email: editor@ijirt.org
Website: ijirt.org

Policies