Profit mining: From patterns to actions

Ke Wang, Senqiang Zhou, Jiawei Han

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


A major obstacle in data mining applications is the gap between the statistic-based pattern extraction and the value-based decision making. We present a profit mining approach to reduce this gap. In profit mining, we are given a set of past transactions and pre-selected target items, and we like to build a model for recommending target items and promotion strategies to new customers, with the goal of maximizing the net profit. We identify several issues in profit mining and propose solutions. We evaluate the effectiveness of this approach using data sets of a wide range of characteristics.

Original languageEnglish (US)
Title of host publicationAdvances in Database Technology, EDBT 2002 - 8th International Conference on Extending Database Technology, Proceedings
EditorsKlemens Bohm, Christian S. Jensen, Simonas Saltenis, Elisa Bertino, Matthias Jarke, Keith G. Jeffery, Jaroslav Pokorny
Number of pages18
ISBN (Print)3540433244, 3540433244, 9783540433248, 9783540433248
StatePublished - 2002
Event8th International Conference on Extending Database Technology, EDBT 2002 - Prague, Czech Republic
Duration: Mar 25 2002Mar 27 2002

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other8th International Conference on Extending Database Technology, EDBT 2002
Country/TerritoryCzech Republic

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science


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