On the inverse classification problem and its applications

Charu C. Aggarwal, Chen Chen, Jiawei Han

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

Abstract

In this paper, we discuss the inverse classification problem, in which we desire to define the features of an incomplete record in such a way that will result in a desired class label. Such an approach is useful in applications in which it is an objective to determine a set of actions to be taken in order to guide the data mining application towards a desired solution. This system can be used for a variety of decision support applications which have pre-determined task criteria.

Original languageEnglish (US)
Title of host publicationProceedings of the 22nd International Conference on Data Engineering, ICDE '06
Pages111
Number of pages1
DOIs
StatePublished - 2006
Event22nd International Conference on Data Engineering, ICDE '06 - Atlanta, GA, United States
Duration: Apr 3 2006Apr 7 2006

Publication series

NameProceedings - International Conference on Data Engineering
Volume2006
ISSN (Print)1084-4627

Other

Other22nd International Conference on Data Engineering, ICDE '06
Country/TerritoryUnited States
CityAtlanta, GA
Period4/3/064/7/06

Keywords

  • Classification
  • Decision Support

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Information Systems

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