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dc.contributor.authorAchuthan, Narasimaha
dc.contributor.authorGopalan, Raj
dc.contributor.authorRudra, Amit
dc.date.accessioned2017-01-30T12:50:06Z
dc.date.available2017-01-30T12:50:06Z
dc.date.created2008-11-12T23:36:27Z
dc.date.issued2004
dc.identifier.citationAchuthan, N. R. and Gopalan, Raj P. and Rudra, Amit. 2004. Mining optimal item packages using mixed integer programming, in Simoff, S.J. and Williams, G.J. (ed), Proceedings of the 3rd Australasian Data Mining Conference (AusDM04): Lecture Notes and Proceedings, Dec 6-7 2004, pp. 125-136. Cairns, Qld: University of Technology.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/25760
dc.description.abstract

Traditional methods for discovering frequent patterns from large databases are based on attributing equal weights to all items of the database. In the real world, managerial decisions are based on economic values attached to the item sets. In this paper, we introduce the concept of the value based frequent item packages problems. Furthermore, we provide a mixed integer linear programming (MILP) model for value based optimization problem in the context of transaction data. The problem discussed in this paper is to find an optimal set of item packages (or item sets making up the whole transaction) that returns maximum profit to the organization under some limited resources. The specification of this problem opens the way for applying existing and new MILP solution techniques to deal with a number of practical decision problems. The model has been implemented and tested with real life retail data. The test results are reported in the paper.

dc.publisherUTS, Sydney
dc.titleMining optimal item packages using mixed integer programming
dc.typeConference Paper
dcterms.source.volumeDecember
dcterms.source.startPage125
dcterms.source.endPage136
dcterms.source.titleProceedings of 3rd Australasian Data Mining Conference
dcterms.source.seriesProceedings of 3rd Australasian Data Mining Conference
dcterms.source.isbn9780646443799
dcterms.source.conference3rd Australasian Data Mining Conference (AUSDM04)
dcterms.source.conference-start-date6-7 Dec 2004
dcterms.source.conferencelocationCairns
dcterms.source.placeSydney
curtin.identifierEPR-3111
curtin.accessStatusOpen access
curtin.facultyCurtin Business School
curtin.facultyFaculty of Engineering and Computing
curtin.facultySchool of Information Systems
curtin.facultyDepartment of Mathematics and Statistics
curtin.facultyDivision of Engineering, Science and Computing
curtin.facultyDepartment of Computing
curtin.facultyFaculty of Science


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