Advances in business analytics at HP laboratories

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dc.citation.epage173en_US
dc.citation.spage137en_US
dc.contributor.authorBeyer, D.en_US
dc.contributor.authorClearwater, S.en_US
dc.contributor.authorChen, K. Y.en_US
dc.contributor.authorFeng, Q.en_US
dc.contributor.authorHuberman, B. A.en_US
dc.contributor.authorJain, S.en_US
dc.contributor.authorJamal, Z.en_US
dc.contributor.authorŞen, Alperen_US
dc.contributor.authorTang, H. K.en_US
dc.contributor.authorTarjan, B.en_US
dc.contributor.authorWard, J.en_US
dc.contributor.authorZhang, A.en_US
dc.contributor.authorZhang, B.en_US
dc.contributor.editorSodhi, M. S.
dc.contributor.editorTang, C. S.
dc.date.accessioned2019-04-23T06:00:38Z
dc.date.available2019-04-23T06:00:38Z
dc.date.issued2010en_US
dc.departmentDepartment of Industrial Engineeringen_US
dc.descriptionChapter 9en_US
dc.description.abstractHP Labs’ Business Optimization Lab is a group of researchers focused on developing innovations in business analytics that deliver value to HP. This chapter describes several activities of the Business Optimization Lab, including work in product portfolio management, prediction markets, modeling of rare events in marketing, and supply chain network design.en_US
dc.description.provenanceSubmitted by Onur Emek (onur.emek@bilkent.edu.tr) on 2019-04-23T06:00:38Z No. of bitstreams: 1 Advances_in_Business_Analytics_at_HP_Laboratories.pdf: 752367 bytes, checksum: 37b0f94ef54567139631c5af87e809e5 (MD5)en
dc.description.provenanceMade available in DSpace on 2019-04-23T06:00:38Z (GMT). No. of bitstreams: 1 Advances_in_Business_Analytics_at_HP_Laboratories.pdf: 752367 bytes, checksum: 37b0f94ef54567139631c5af87e809e5 (MD5) Previous issue date: 2010en
dc.identifier.doi10.1007/978-1-4419-6810-4_9en_US
dc.identifier.doi10.1007/978-1-4419-6810-4en_US
dc.identifier.isbn9781441968098
dc.identifier.issn0884-8289
dc.identifier.urihttp://hdl.handle.net/11693/50892
dc.language.isoEnglishen_US
dc.publisherSpringer, Bostonen_US
dc.relation.ispartofA long view of research and practice in operations research and management scienceen_US
dc.relation.ispartofseriesInternational Series in Operations Research & Management Science;148
dc.relation.isversionofhttps://doi.org/10.1007/978-1-4419-6810-4_9en_US
dc.relation.isversionofhttps://doi.org/10.1007/978-1-4419-6810-4en_US
dc.subjectSupply chainen_US
dc.subjectLagrangian relaxationen_US
dc.subjectProduct portfolioen_US
dc.subjectCustomer segmenten_US
dc.subjectBipartite networken_US
dc.titleAdvances in business analytics at HP laboratoriesen_US
dc.typeBook Chapteren_US

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