Algorithms for Data-Driven Business Intelligence with Applications to Revenue Optimization and Financial Forecasting.

Simple item page
dc.contributor.advisorNagiza Samatova, Chair
dc.contributor.advisorKemafor Ogan, Member
dc.contributor.advisorDennis Bahler, Member
dc.contributor.advisorSteffen Heber, Member
dc.contributor.authorYang, Ruixin
dc.date.accepted2019-01-09
dc.date.accessioned2019-01-10T13:30:53Z
dc.date.available2019-01-10T13:30:53Z
dc.date.defense2018-11-30
dc.date.issued2018-11-30
dc.date.released2019-01-10
dc.date.reviewed2018-12-06
dc.date.submitted2018-12-05
dc.degree.disciplineComputer Science
dc.degree.leveldissertation
dc.degree.nameDoctor of Philosophy
dc.identifier.otherdeg12184
dc.identifier.urihttp://www.lib.ncsu.edu/resolver/1840.20/36262
dc.rights
dc.titleAlgorithms for Data-Driven Business Intelligence with Applications to Revenue Optimization and Financial Forecasting.

Files

Original bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
etd.pdf
Size:
2.16 MB
Format:
Adobe Portable Document Format
Download

Collections

Dissertations