Publication:
Forecasting simulated retail demand using statistical and data mining techniques

dc.contributor.advisorAli, Özden Gür
dc.contributor.advisorSayın, Serpil
dc.contributor.departmentGraduate School of Sciences and Engineering
dc.contributor.kuauthorTunçelli, Ayşe Gül
dc.contributor.programIndustrial Engineering
dc.contributor.schoolcollegeinstituteGRADUATE SCHOOL OF SCIENCES AND ENGINEERING
dc.coverage.spatialİstanbul
dc.date.accessioned2024-11-09T22:37:33Z
dc.date.issued2007
dc.format.extentix, 111 l. : ill. 30 cm.
dc.identifier.urihttps://hdl.handle.net/20.500.14288/5820
dc.keywordsDemand forecasting
dc.language.isoeng
dc.publisherKoç University
dc.relation.collectionKU Theses and Dissertations
dc.rightsrestrictedAccess
dc.rights.copyrightsnote© All Rights Reserved. Accessible to Koç University Affiliated Users Only!
dc.subjectDemand functions (Economic theory), Mathematical models
dc.subjectConsumption (Economics), Mathematical models
dc.subjectMarketing
dc.subjectData mining
dc.titleForecasting simulated retail demand using statistical and data mining techniques
dc.typeThesis
dspace.entity.typePublication
local.contributor.kuauthorTunçelli, Ayşe Gül
relation.isAdvisorOfThesis70477a86-3eb6-42c2-9c2e-ba8efb454768
relation.isAdvisorOfThesisb054dfc1-9c38-40ba-8130-be22232cf4aa
relation.isAdvisorOfThesis.latestForDiscovery70477a86-3eb6-42c2-9c2e-ba8efb454768
relation.isOrgUnitOfPublication3fc31c89-e803-4eb1-af6b-6258bc42c3d8
relation.isOrgUnitOfPublication.latestForDiscovery3fc31c89-e803-4eb1-af6b-6258bc42c3d8
relation.isParentOrgUnitOfPublication434c9663-2b11-4e66-9399-c863e2ebae43
relation.isParentOrgUnitOfPublication.latestForDiscovery434c9663-2b11-4e66-9399-c863e2ebae43

Files

Original bundle

Now showing 1 - 1 of 1
Placeholder
Name:
26.pdf
Size:
831.7 KB
Format:
Adobe Portable Document Format