search query: @indexterm data mining / total: 29
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| Author: | Bloemer, J. (et. al) |
| Title: | Comparing complete and partial classification for identifying customers at risk |
| Journal: | International Journal of Research in Marketing
2003 : JUN, VOL 20, p. 117-131 |
| Index terms: | CUSTOMERS RISK DATA MINING EMPIRICAL RESEARCH |
| Language: | eng |
| Abstract: | This article evaluates the problem of identifying customers at risk. In the article customers are reporting their satisfaction. Charactetistics which are strongly associated with dissatisfied customers are possessed. In the empirical part of this research, the authors evaluate complete and partial classification techniques. Authors compare their performances both quantitative and qualitative criteria. |
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