• DEEPAK KUMAR
• Dr. Jitendra Seethlani

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. A terrorist is spreading their terrorism activities using the internet by speech, text, videos. Terrorist groups are utilizing the internet as a medium to convince innocent people to take part in terrorist activities by infuriating the people through web pages that inspire disenchanted individuals to take part in the 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.

Terrorism, World, Data mining, Clustering, Online

"A STUDY OF DETECTING TERROR-RELATED ACTIVITIES ON THE WEB DATA MINING TECHNIQUES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 3, page no.949-958, March-2019, Available :http://www.jetir.org/papers/JETIR1903K38.pdf

"A STUDY OF DETECTING TERROR-RELATED ACTIVITIES ON THE WEB DATA MINING TECHNIQUES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 3, page no. pp949-958, March-2019, Available at : http://www.jetir.org/papers/JETIR1903K38.pdf