Title :
Crime analysis and prediction using data mining
Author :
Sathyadevan, Shiju ; Devan, M.S. ; Surya Gangadharan, S.
Author_Institution :
Amrita Center for Cyber Security, Amrita Vishwa Vidyapeetham, Amritapuri, India
Abstract :
Crime analysis and prevention is a systematic approach for identifying and analyzing patterns and trends in crime. Our system can predict regions which have high probability for crime occurrence and can visualize crime prone areas. With the increasing advent of computerized systems, crime data analysts can help the Law enforcement officers to speed up the process of solving crimes. Using the concept of data mining we can extract previously unknown, useful information from an unstructured data. Here we have an approach between computer science and criminal justice to develop a data mining procedure that can help solve crimes faster. Instead of focusing on causes of crime occurrence like criminal background of offender, political enmity etc we are focusing mainly on crime factors of each day.
Keywords :
Bayes methods; data analysis; data mining; police data processing; computerized system; crime data analysis; crime prevention; data mining; law enforcement officers; unstructured data; Artificial neural networks; Visualization; Apriori algorithm; Decision tree; GraphDB; Mongo DB; NER; Naive Bayes; Neo4j;
Conference_Titel :
Networks & Soft Computing (ICNSC), 2014 First International Conference on
Conference_Location :
Guntur
Print_ISBN :
978-1-4799-3485-0
DOI :
10.1109/CNSC.2014.6906719