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Web Mining to Detect Online Spread of Terrorism

Authors:

S.Dinesh Kumar Reddy

UG Student Dept of CSE(CTIS) Jain University

Kanakapura,Karnataka,India.

R.Purushotham

UG Student Dept of Cse(CTIS)

Jain University Kanakapura,Karnataka,India.

B.Dheeraj

UG Student Dept of CSE(CTIS)

Jain University Kanakapura,Karnataka,India

Dr.N.Raja Praveen Professor

Dept of CSE-CTIS Jain University

Kanakapura,Karnataka,India.

Abstract: In the recent times, terrorism has grown in an exponential manner in certain parts of the world. This enormous growth in terrorist activities has made it important to stop terrorism and prevent its spread before it causes damage to human life or property. 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. Web mining and data mining are used simultaneously for the purpose of efficient system development. Web mining even consists of many different text mining methods that can be helpful to scan and extract relevant data from unstructured data. Text mining is very helpful in detecting various patterns, keywords, and significant information in unstructured texts. Data mining and web mining systems are used for mining from text widely. 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.

Keywords: Terrorism, naïve-bayes, random forest, online spread

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