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

Simple item page
dc.contributor.advisorAli, Özden Gür
dc.contributor.advisorSayın, Serpil
dc.contributor.advisorid0000-0002-9409-4532
dc.contributor.advisorid0000-0002-3672-0769
dc.contributor.authorTunçelli, Ayşe Gül
dc.contributor.instituteKoç University Graduate School of Sciences and Engineering
dc.contributor.programIndustrial Engineering
dc.contributor.yokid57780
dc.contributor.yokid6755
dc.date.accessioned2024-11-09T22:37:33Z
dc.date.issued2007
dc.descriptionix, 111 l. : ill. 30 cm.
dc.identifier.urihttps://hdl.handle.net/20.500.14288/5820
dc.keywordsDemand forecasting
dc.languageEnglish
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.thesis.degreeMaster's Degree
dc.thesis.grantorİstanbul
dc.titleForecasting simulated retail demand using statistical and data mining techniques
dc.typeThesis
dspace.entity.typePublication
relation.isAdvisorOfThesis70477a86-3eb6-42c2-9c2e-ba8efb454768
relation.isAdvisorOfThesisb054dfc1-9c38-40ba-8130-be22232cf4aa
relation.isAdvisorOfThesis.latestForDiscovery70477a86-3eb6-42c2-9c2e-ba8efb454768

Files

Original bundle

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

Collections

Theses & Dissertations