Please use this identifier to cite or link to this item: http://hdl.handle.net/11718/10778
Full metadata record
DC FieldValueLanguage
dc.contributor.authorDass, Rajanish
dc.date.accessioned2011-05-09T10:13:47Z
dc.date.available2011-05-09T10:13:47Z
dc.date.copyright2009-04-15
dc.date.issued2011-05-09T10:13:47Z
dc.identifier.urihttp://hdl.handle.net/11718/10778
dc.descriptionCompleteden
dc.description.abstractPerformance measurement and performance appraisal are still a post-facto intervention. Given that individual and group performance is linked with the environment and is contextual, this project looks at the feasibility of forecasting individual performance for proactive decision making and overall increase in effectiveness of decision making. The objective is to develop pattern mining based frameworks and tools for forecasting performance of participants of training programmes, forecasting employee performance, and forecasting impact of capacity building exercises.en
dc.description.sponsorshipF4 Solutionsen
dc.language.isoenen
dc.subjectComputer and Information Systems Groupen
dc.titlePerformance Forecastingen
dc.typeResearch Projecten
Appears in Collections:Research Projects

Files in This Item:
There are no files associated with this item.


Items in IIMA Institutional Repository are protected by copyright, with all rights reserved, unless otherwise indicated.