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@article{151841,
        author = {Akash Mishra  and Adarsh Pandey},
        title = {AN EFFICIENT WAY OF WEB DATA MINING       TO DETECT ONLINE SPREAD OF TERRORISM},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {8},
        number = {1},
        pages = {841-843},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=151841},
        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.},
        keywords = {},
        month = {},
        }