implementasi metode clustering dbscan pada proses pengambilan keputusan

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ID: 196786
2015
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Abstract
Spatial Data Clustering is one of the significant techniques in data mining which used to obtain information or knowledge in a large number of spatial data from various applications. One technique that being a pioneer in the development of spatial data clustering algorithm is DBSCAN. This study is focused on implementation of DBSCAN method in decision making process in order to help a company to decide its potential customer. The trial results in this study show that DBSCAN method has been successfully conduct clustering process to support decision making process in determination of potential customer by forming several number of clusters.
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devi2015lontarimplementasi Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Anindya Santika Devi;I Ketut Gede Darma Putra;I Made Sukarsa
Journal proceedings - 17th ieee/acis international conference on computer and information science, icis 2018
Year 2015
DOI
10.24843/LKJITI.2015.v06.i03.p05
URL
https://ojs.unud.ac.id/index.php/lontar/article/view/32454
Keywords
computer science electronic computers

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