Mining evolving customer-product relationships in multi-dimensional space

Xiaolei Li, Jiawei Han, Xiaoxin Yin, Dong Xin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Previous work on mining transactional database has focused primarily on mining frequent itemsets, association rules, and sequential patterns. However, interesting relationships between customers and items, especially their evolution with time, have not been studied thoroughly. In this paper, we propose a Gaussian transformation-based regression model that captures time-variant relationships between customers and products. Moreover, since it is interesting to discover such relationships in a multi-dimensional space, an efficient method has been developed to compute multi-dimensional aggregates of such curves in a data cube environment. Our experimental results have demonstrated the promise of the approach.

Original languageEnglish (US)
Title of host publicationProceedings - 21st International Conference on Data Engineering, ICDE 2005
Pages580-581
Number of pages2
DOIs
StatePublished - Dec 12 2005
Event21st International Conference on Data Engineering, ICDE 2005 - Tokyo, Japan
Duration: Apr 5 2005Apr 8 2005

Publication series

NameProceedings - International Conference on Data Engineering
ISSN (Print)1084-4627

Other

Other21st International Conference on Data Engineering, ICDE 2005
Country/TerritoryJapan
CityTokyo
Period4/5/054/8/05

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Information Systems

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