Editor/Reviewer loginFrequency : 12 issues per year
Subject : Computer Applications and Technology
ISSN : 2319–8656 (Online)
IJCATR Volume 9 Issue 5
Automated Crime Patterns Analysis Framework for Predictive Policing using Data Mining Techniques
Duncan Nyale, Michael M Kangethe
10.7753/IJCATR0905.1002
keywords : ANN: - Artificial Neural Network, KNN: - K Nearest Neighbour, MAP: - Maximum A Posteriori, GUI: - Graphical User Interface
The aim of this research is to study and develop an automatable technological framework that can be used to identify contributing attributes, patterns and trends from reported cases using data mining techniques. A combination of classification and association rules based data mining approach has been proposed for this study due to its effectiveness in bringing out patterns and trends that are interlinked, related and near each other.
@artical{d952020ijcatr09051002,
Title = "Automated Crime Patterns Analysis Framework for Predictive Policing using Data Mining Techniques",
Journal ="International Journal of Computer Applications Technology and Research(IJCATR)",
Volume = "9",
Issue ="5",
Pages ="172 - 176",
Year = "2020",
Authors ="Duncan Nyale, Michael M Kangethe"}
Intelligence-based policing through Data Mining
Automated Crime Association from Attributes Mapping
Crime Causality Relationship Mapping
Automated Crime pattern Analysis.