Paper Info
Title
Identifying key influential parameters of high profile criminals through statistical correlation
Abstract
Identification of influential parameters using data mining and statistical tools is an important subject of criminology. These parameters are further used in criminal prediction and crime reduction which is a well-known problem in law enforcement agencies. In this research, we have analyzed the 5 years data of the Prison Department of the Government of KP. More than thirty parameters related to criminals were cleaned, preprocessed and analyzed. Correlation of these parameters with high act crimes was identified. There are five parameters which have strong correlation with high act crimes that includes total number of group members, recovery of assets, total number of hearings, crime frequency, and total number of non-blood visitors. On the other hand, there are three parameters that have negative correlation with high act crimes which includes education level of a criminal, total number of dependents, and prison duration. The overall objective of this research is to identify influential parameters related to high category crimes and support the law enforcement agencies of the KP province in reducing the crime ratio.
Year
DOI
Venue
2019
10.1007/s10586-017-1059-1
Cluster Computing
Keywords
DocType
Volume
Criminology, Data mining, Correlation, Influential parameters
Journal
22
Issue
ISSN
Citations 
Supplement
1573-7543
0
PageRank 
References 
Authors
0.34
3
4
Name
Order
Citations
PageRank
Danish Wadood100.34
Azhar Rauf2253.63
Shah Khusro34111.92
Shaukat Ali4102.21