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  1. Yadanabon University
  2. Department of Computer Science

Discovering of Criminal Patterns in Myanmar Using Fuzzy Clustering

http://hdl.handle.net/20.500.12678/0000000301
c4a43ae7-76f0-4738-a0f2-cd7ebad4a51c
9fbc623c-9285-48ef-8762-e4e48fcbbf67
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Discovering Discovering of Criminal Patterns in Myanmar Using Fuzzy Clustering.pdf (605 Kb)
Publication type Journal article
Upload Type Publication
Title
Discovering of Criminal Patterns in Myanmar Using Fuzzy Clustering
en
Publication date 2019
Authors
Min Thein
Khin Nandar Win
Description
In these days, there are a lot of crimes are occurring around the world in different variety.
Discovering and predicting crime patterns are crucial issues and become one of the main
community problems for the safety of our environment almost in every country. In this paper,
we have discovered some criminal patterns according to their target types and the crimes types
of Myanmar using fuzzy clustering and CAC algorithm in accordance with their time and
location from spatiotemporal dataset. Moreover, we also presented the usefulness of the fuzzy
clustering algorithm in the real-world application. And at last, we discussed frequently
occurring crimes by the place where it has been targeted and the crimes types in accordance
with the relevant years.
Keywords
discovering crime patterns
Journal articles
1
Yadanabon University Research Journal
10
Conference papaers
Books/reports/chapters
Thesis/dissertations
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