Crime Analysis using Text Mining

Crime analysis is a technique for discerning and breaking down instances and sequences or patterns in crime. Our approach can anticipate locals which have high possibilities for crime and we are able to imagine crime induces zones. The broaden development of this mechanized technique, crime informat...

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Bibliographic Details
Published in2019 International Conference on contemporary Computing and Informatics (IC3I) pp. 283 - 288
Main Authors Kaur, Harpreet, Choudhury, Tanupriya, Singh, Thipendra Pal, Shamoon, Mohammad
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.12.2019
Subjects
Classification algorithms
Clustering algorithms
Euclidean distance
Informatics
K Means Clustering
k-Nearest Neighbor
Mining
structured data
Training data
unstructured data
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Summary:Crime analysis is a technique for discerning and breaking down instances and sequences or patterns in crime. Our approach can anticipate locals which have high possibilities for crime and we are able to imagine crime induces zones. The broaden development of this mechanized technique, crime information savants (police departments, CBI, CID etc.) can help the Law imposition officers to expedites the pave the way for comprehending infringements. Using text mining, the already opaque can be segregated from the useful data in unstructured information. The technique, we have between software engineering and criminal equity for constructing an information mining system that can help unravel the crime in India. This approach will help solve the crime faster and efficiently.
DOI:10.1109/IC3I46837.2019.9055606