Counter-Terrorism and Crime Detection Using Hybrid Approach of Data Mining, NLP and GEO-Spatial Social Media Analytics
DOI:
https://doi.org/10.26438/ijcse/v8i1.151158Keywords:
Counter terroris, Crime detection, Social Media, Data mining, Geo-Spatial, NLPAbstract
Crime, an unlawful act, causes terror and threat to our society and is a major concern for national security as well as international security. However, very negligible work has been done to develop models and methods to hold an active collaboration between counter terrorism and criminal investigation systems. The need is felt to develop a system that collects as well as categorise the data on crimes along with an analysis of crime affected areas identification. In this study, an efficient crime investigation system is proposed in which fuzzy rules and k mean clustering algorithm is employed to identify and detect crime affected region along with showing it on the map. The study of Data Mining and NLP is incorporated for crime detection and prevention with an aim to provide a safer society to live.
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