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.
| Autorius: | Abhijit Raorane, Raja Kulkarni, |
| Leidėjas: | LAP LAMBERT Academic Publishing |
| Išleidimo metai: | 2014 |
| Knygos puslapių skaičius: | 76 |
| ISBN-10: | 3659548227 |
| ISBN-13: | 9783659548222 |
| Formatas: | 220 x 150 x 5 mm. Knyga minkštu viršeliu |
| Kalba: | Anglų |
Parašykite atsiliepimą apie „Consumer Behavior Analysis using Data Mining Technique: A Quantitative Approach for Data Mining and its Applications in Selected Business Organizations“
