Paper Title

A Review of Terrorist Activity Detection Using a Machine Learning Approach

Authors

Avhad Janhavi , Burkul Ashwini , Shelke Tejal , Sanap Renuka

Keywords

Terrorism, Machine Learning, Encryption, Detection, SVM

Abstract

In recent times, terrorism has grown exponentially 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 developments in technology, the internet has become a medium for spreading terrorism through speeches and videos. Terrorist organisations 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 organisations and commit crimes on 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. Text mining systems such as data mining and web mining are widely used. Data mining algorithms are used to manage organized.

How To Cite

"A Review of Terrorist Activity Detection Using a Machine Learning Approach", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.8, Issue 3, page no.601 - 604, March-2023, Available :https://ijsdr.org/papers/IJSDR2303097.pdf

Issue

Volume 8 Issue 3, March-2023

Pages : 601 - 604

Other Publication Details

Paper Reg. ID: IJSDR_204605

Published Paper Id: IJSDR2303097

Downloads: 000347173

Research Area: Engineering

Country: -, -, -

Published Paper PDF: https://ijsdr.org/papers/IJSDR2303097

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2303097

About Publisher

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

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