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        <identifier>oai:meral.edu.mm:recid/301</identifier>
        <datestamp>2021-12-13T02:30:30Z</datestamp>
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          <dc:title>Discovering of Criminal Patterns in Myanmar Using Fuzzy Clustering</dc:title>
          <dc:creator>Min Thein</dc:creator>
          <dc:creator>Khin Nandar Win</dc:creator>
          <dc:description>In these days, there are a lot of crimes are occurring around the world in different variety.&#13; Discovering and predicting crime patterns are crucial issues and become one of the main&#13; community problems for the safety of our environment almost in every country. In this paper,&#13; we have discovered some criminal patterns according to their target types and the crimes types&#13; of Myanmar using fuzzy clustering and CAC algorithm in accordance with their time and&#13; location from spatiotemporal dataset. Moreover, we also presented the usefulness of the fuzzy&#13; clustering algorithm in the real-world application. And at last, we discussed frequently&#13; occurring crimes by the place where it has been targeted and the crimes types in accordance&#13; with the relevant years.</dc:description>
          <dc:date>2019</dc:date>
          <dc:identifier>http://hdl.handle.net/20.500.12678/0000000301</dc:identifier>
          <dc:identifier>https://meral.edu.mm/records/301</dc:identifier>
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