In India, the crime rate is increasing each day. In the current situation, recent technologicalinfluence, effects of social media and modern approaches help the offenders to achieve their crimes.Both analysis and prediction of crime is a systematized method that classifies and examines thecrime patterns. There exist various clustering algorithms for crime analysis and pattern predictionbut they do not reveal all the requirements. Among these, K means algorithm provides a better wayfor predicting the results. The proposed research work mainly focused on predicting the region withhigher crime rates and age groups with more or less criminal tendencies. We propose an optimizedK means algorithm to lower the time complexity and improve efficiency in the result.
Samudrala DineshPonnala RohitMasood Khan PatanMrs.S.T. Ramya
Anitha JulianDarisi Venkata Veera SomasekharR. Harsh VardhanHarsh Vardhan Naidu
Akansha A ChikhaleAnkita K DhavaleAparna P ThakreDiksha B HerodeNikita D NasrePracheta D PatrikarMilind Tote
Mrs. Prasanna PabbaKetan BallurkarG. Ram ReddyK. Ajay ReddyC. Sai Kiran
M. Jogendra KumarM. SravaniMuvva AkhilPallapothu SureshkumarValiveti Yasaswi