Consumer Behavior Analysis using Data Mining Technique
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Various studies on consumer purchasing behaviors have been presented and used in real problems. Data mining techniques are expected to be a more effective tool for analyzing consumer behaviors. However, the data mining method has disadvantages as well as advantages. Therefore, it is important to select appropriate techniques to mine databases. The objective of this work is to know consumer behavior, his psychological condition at the time of purchase and how suitable data mining method apply to improve conventional method. Moreover, in an experiment, association rule is employed to mine rules for trusted customers using sales data in a super market industry.
| Publisher Name | LAP Lambert Academic Publishing |
|---|---|
| Author Name | Hagendorf, Col |
| Format | Audio |
| Bisac Subject Major | COM |
| Language | NG |
| Isbn 10 | 3659548227 |
| Isbn 13 | 9783659548222 |
| Target Age Group | min:NA, max:NA |
| Dimensions | 00.90" H x 00.06" L x 00.00" W |
| Page Count | 76 |
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