• Journal of Information Technology Services
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• v.9 no.1
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• pp.127-139
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• 2010

Due to the development of information technology and business related to geographical location of customer, the need for the storage and analysis of geographical location data is increasing rapidly. Geographical location data have a spatio-temporal nature which is different from typical business data. Therefore, different methods of data storage and analysis are required. This paper proposes a multi-dimensional data model and data visualization to analyze geographical location data efficiently and effectively. Purchase order data of an online farm products brokerage business was used to build prototype datamart. RFM scores are calculated to classify customers and geocoding technology is applied to display information on maps, thereby to enhance data visualization.

• Journal of the Korea Society of Computer and Information
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• v.15 no.6
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• pp.121-128
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• 2010

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.

• Journal of the Korean Geographical Society
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• v.42 no.3 s.120
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• pp.434-452
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• 2007

The globalization of the economy has strengthened competition in all industries. Facing an intensely competitive environment, the firm's choice of location is one of the most important strategies in enhancing its competitiveness. This paper aims to examine the locational changes and the spatial restructuring of suppliers firm with regard to modularization and customer diversification which result from the process of assembler's restructuring after the financial crisis. Some experimental findings which have been identified throughout this study can be summarized as follows: First, a number of suppliers has been located in the southern Seoul metropolitan area and northern Chungcheong area. And Hyundai's suppliers has been enlarged in the Seoul metropolitan area and Kia's in the Southeastern area. Second, suppliers who transact with several assemblers(network trade) tend to be more dispersed, but dedicated(exclusive) suppliers are more concentrated on assembly plants. Also it was confirmed that 'JIS(Just In Sequence)' system which is more detailed than 'JIT(Just In Time)'system has been used. Third, it was Prominent that suppliers are internalizing in order to reach economies of scale compare to assemblers are externalizing.