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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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bracu.degree.levelUndergraduate
bracu.type.groupStudent Works
datacite.rightsOpen Access
dc.contributor.advisorKhan, Mumit
dc.contributor.authorMahmud, Shahtab
dc.contributor.departmentDepartment of Computer Science and Engineering
dc.date.accessioned2013-04-22T09:10:13Z
dc.date.available2013-04-22T09:10:13Z
dc.date.copyright2012
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.en_US
dc.description.degreeBachelor of Science in Computer Science and Engineering
dc.description.statementofresponsibilityShahtab Mahmud
dc.format.extent49 pages
dc.identifier.other7101012
dc.identifier.urihttp://hdl.handle.net/10361/2336
dc.language.isoenen_US
dc.publisherBRAC Universityen_US
dc.rightsBRAC University thesis are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission.
dc.subjectComputer science and engineering
dc.subjectAlgorithmen_US
dc.titleDesigning a segmented, indexed data warehouse and performance analysis and improvement of association rules mining with the apriori algorithm on a virtual supermarket databaseen_US
dc.typeThesisen_US

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Thesis (Bachelor of Science in Computer Science and Engineering)