• Vinay Mahajan
• Prayag Adhikari
• Omkar Molawade
• Damu Kharat

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. Terrorist organizations use internet to brain wash individuals and also promote terrorist activities through provocative web pages that inspire helpless people to join terrorist organizations. So here we propose an efficient web data mining system to detect such web. Properties and flag them automatically for human review. Data mining is a technique used to mine out patterns of useful data from large data sets and make the most use of obtained results. Data mining algorithms are used to manage organized data sets and web mining algorithms can be helpful in mining and extracting from unstructured web pages and text data that is available across the web. Websites built in different platforms have varying data structures and that makes it quite difficult to read for a single algorithm.

"Web Mining to Detect Online Spread of Terrorism", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 5, page no.e637-e649, May-2022, Available :http://www.jetir.org/papers/JETIR2205578.pdf

"Web Mining to Detect Online Spread of Terrorism", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 5, page no. ppe637-e649, May-2022, Available at : http://www.jetir.org/papers/JETIR2205578.pdf