Designing a segmented, indexed data warehouse and performance analysis and improvement of association rules mining with the apriori algorithm on a virtual supermarket database

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dc.contributor.advisorKhan, Mumit
dc.contributor.authorMahmud, Shahtab
dc.date.accessioned2013-04-22T09:10:13Z
dc.date.available2013-04-22T09:10:13Z
dc.date.issued2012
dc.descriptionCataloged from PDF version of thesis report.
dc.descriptionIncludes bibliographical references (page 28).
dc.descriptionThis thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2005.
dc.identifier.other7101012
dc.identifier.otherhttps://dspace.bracu.ac.bd/server/api/core/items/5645a02c-003d-4cbf-9d7c-60000f8e69b3
dc.identifier.urihttp://hdl.handle.net/10361/2336
dc.language.isoen
dc.publisherBRAC University
dc.sourceBRAC University Institutional Repository
dc.subjectComputer science and engineering
dc.subjectAlgorithm
dc.titleDesigning a segmented, indexed data warehouse and performance analysis and improvement of association rules mining with the apriori algorithm on a virtual supermarket database
dc.typeThesis

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Thesis (Bachelor of Science in Computer Science and Engineering)