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http://dx.doi.org/10.9708/jksci.2010.15.6.121

A Spatial Data Mining and Geographical Customer Relationship Management System  

Lee, Sang-Moon (Dept. of Computer Science from Chungju National University)
Seo, Jeong-Min (Dept. of Computer Science from Konkuk University)
Abstract
Spatial data mining has been developed to support spatial association knowledge between spatial features or its non-spatial attributes for an application areas. At the present time, a number of researchers attempt to the data mining techniques apply to the several analysis areas, for examples, civil engineering, environmental, agricultural areas. Despite the efforts that, until such time as not existed practical systems for the gCRMDMs. gCRMDMs is merged with very large spatial database and CRM information system. Also, it is discovery the association rule for the predictions of customer's shopping pattern informations in a huge database consisted with spatial and non-spatial dataset. For this goal, gCRMDMs need spatial data mining techniques. But, nowadays, in a most case not exist utilizable model for the gCRMDMs. Therefore, in this paper, we proposed a practical gCRMDMs model to support a customer, store, street, building and geographical suited to the trade area.
Keywords
CRM; Spatial; gCRMDMs; GIS; Data Mining;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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