NDLI: Research on Different Customer Purchase Patterns Based on Subjective Interestingness

Content Provider	IEEE Xplore Digital Library
Author	Li Yi-jun Lv Ying-jie
Copyright Year	2007
Description	Author affiliation: Harbin Inst. of Technol., Harbin (Li Yi-jun; Lv Ying-jie)
Abstract	This paper constructs a model of subjective interestingness in order to study the differences among customer purchase patterns. Firstly, traditional purchase patterns can be found by using mining algorithms for association rules and they are considered as some beliefs of the model, that is, some generally acknowledged laws. Then from each type of customer group, we can find some new purchase patterns. Next, the subjective interestingness values of the new patterns can be computed by comparing these new purchase patterns with existing beliefs. Thus we can get the subjective interestingness value of each customer group. The customer groups with low interestingness values indicate that their purchase behaviors are similar to those we have found and so we can use the existing patterns to represent the customers' behaviors, whereas for the customer groups with high interestingness values, their purchase behaviors are very different from common customers, and the existing purchase patterns can not represent these customers' behaviors, so these customers are of great value to further research.
Starting Page	3
Ending Page	8
File Size	3119092
Page Count	6
File Format	PDF
ISBN	9787560322780
DOI	10.1109/ICMSE.2007.4421816
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-08-20
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	HARBIN INSTITUTE OF TEC
Subject Keyword	Decision making Conference management association rules purchase patterns Transaction databases Association rules Data mining Technology management Engineering management subjective interestingness Customer relationship management Pattern analysis Business CRM
Content Type	Text
Resource Type	Article

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