This paper is published in Volume-5, Issue-1, 2019
Area
Web Data Mining
Author
Naseema Begum A.
Co-authors
Hanu Rakavi S., Mohanambal R., Aswathy R. H.
Org/Univ
KPR Institute of Engineering and Technology, Coimbatore, Tamil Nadu, India
Pub. Date
08 February, 2019
Paper ID
V5I1-1288
Publisher
Keywords
Terrorism, World, Data mining, Clustering, Online

Citationsacebook

IEEE
Naseema Begum A., Hanu Rakavi S., Mohanambal R., Aswathy R. H.. Detection of online spread of terrorism using web data mining, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Naseema Begum A., Hanu Rakavi S., Mohanambal R., Aswathy R. H. (2019). Detection of online spread of terrorism using web data mining. International Journal of Advance Research, Ideas and Innovations in Technology, 5(1) www.IJARIIT.com.

MLA
Naseema Begum A., Hanu Rakavi S., Mohanambal R., Aswathy R. H.. "Detection of online spread of terrorism using web data mining." International Journal of Advance Research, Ideas and Innovations in Technology 5.1 (2019). www.IJARIIT.com.

Abstract

Terrorist growth has increased in certain parts of the world. Terrorist groups use Facebook, WhatsApp, messages to spread their information on the social network. It is essential to detect terrorism and prevent its spreading before a certain time. The basic idea of this project is to reduce or stop spreading of terrorism and to remove all these accounts. The terrorists are spreading their terrorism activities using the internet by speech, text, videos. Terrorist groups are utilizing the internet as a medium to convince the innocent people to take part in terrorist activities by infuriating people through web pages that inspire disenchanted individuals to take part in a terrorist organization. This needs a lot of human effort to implement this project that will collect the information and find the terrorist groups. To reduce the human effort, we implement the system which detects terrorist groups in social-media
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