BibTeX:

@article{IJIRSTV3I9034,
     title={Data Mining using R For Criminal Detection},
     author={Shefali Sharma, Rujutha Shetty, Bini Shah and Seema Yadav},
     journal={International Journal for Innovative Research in Science & Technology},
     volume={3},
     number={9},
     pages={91--97},
     year={},
     url={http://www.ijirst.org/articles/IJIRSTV3I9034.pdf},
     publisher={IJIRST (International Journal for Innovative Research in Science & Technology)},
}

Increasing crime rates all over the world have lead us to some serious concerns. While we are busy finding punishments for criminals, we tend to forget the fact that prevention is always a better solution. In today’s world, social media has become the key to deciphering a personality. Through our system, we aim to utilize the data extracted from various social media platforms in order to narrow down the key factors which might lead to a potential criminal mindset. We make use of a premium integrated development environment i.e. RStudio to arrive at a conclusion which will be in terms of criminal potential in any individual. Personality trait analysis has been a subject of interest for years but in the proposed system, we aim to use clustering as well as classification algorithms to have a more accurate analysis of the personalities which will be classified on the basis of the Five Factor Model. The five factors have been defined as openness, conscientiousness, extraversion, agreeableness and neuroticism (OCEAN).

Data Mining, Data Source, Personality Traits, Criminal Psychology, Classification, Clustering