Behavior Analysis and Crime Prediction using Big Data and Machine Learning
Pranay Jha1, Raman Jha2, Ashok Sharma3
1Pranay Jha, Research Scholar, School of Computer Application, Lovely Professional University, Punjab, India.
2Raman Jha, Senior System Engineer, Infosys, Pune, India.
3Dr Ashok Sharma, Associate Professor, School of Computer Science Engineering, Lovely Professional University, Punjab, India.

Manuscript received on 16 April 2019 | Revised Manuscript received on 21 May 2019 | Manuscript published on 30 May 2019 | PP: 461-468 | Volume-8 Issue-1, May 2019 | Retrieval Number: A3493058119/19©BEIESP
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (

Abstract: Criminal activity is one of the major problems in our society. With the revival of such activities globally every day, it is quite difficult to manage and investigate the incidents by crime investigation agencies either because of less head counts of cops or criminals are smarter than investigation process. Traditional process of investigation for police department takes quite longer to predict about the criminal profiles, to suspect the next future crime location, or to know the pattern of crime.
Therefore, there is need to analyze the historical crime patterns more effectively in minimum time, and predicting the future location and type of crime. Police department needs a systematic way for analyzing criminal profile easily and find the associated criminals who can be associated to that crime. Advanced analytics system is also required to track other information such as traffic sensors, calls, videos, police service calls etc. for monitoring the criminal activities. In this paper, we have discussed how Big Data based data analytical approaches can be used to prevent the deal with such cases. In addition to it, we have also discussed different data collection approaches have been discussed which includes Volunteered Geographic Information (VGI) along with Geographic Information System (GIS) and Web 2.0. Last phase will be the prediction based on data collection and analysis. It will be done with using Machine Learning to predict and avoid the future crime.
Index Terms: Big Data, VGI, Web 2.0, Data Visualization, Hadoop, Crime Analysis, Machine Learning, RapidMiner

Scope of the Article: Machine Learning