Optimization plugin for RapidMiner

dc.contributor.authorUmaashankar, Venkatesh
dc.contributor.authorSangkyun, Lee
dc.date.accessioned2018-10-12T09:12:51Z
dc.date.available2018-10-12T09:12:51Z
dc.date.issued2012-04
dc.description.abstractOptimization in general means selecting a best choice out of various alternatives, which reduces the cost or disadvantage of an objective. Optimization problems are very popular in the fields such as economics, finance, logistics, etc. Optimization is a science of its own and machine learning or data mining is a diverse growing field which applies techniques from various other areas to find useful insights from data. Many of the machine learning problems can be modelled and solved as optimization problems, which means optimization already provides a set of well established methods and algorithms to solve machine learning problems. Due to the importance of optimization in machine learning, in recent times, machine learning researchers are contributing remarkable improvements in the field of optimization. We implement several popular optimization strategies and algorithms as a plugin for RapidMiner, which adds an optimization tool kit to the list of existing arsenal of operators in RapidMiner.en
dc.identifier.urihttp://hdl.handle.net/2003/37183
dc.identifier.urihttp://dx.doi.org/10.17877/DE290R-19179
dc.language.isoende
dc.relation.ispartofseriesTechnical report / Sonderforschungsbereich Verfügbarkeit von Information durch Analyse unter Ressourcenbeschränkung;4/2012
dc.subject.ddc004
dc.titleOptimization plugin for RapidMineren
dc.typeTextde
dc.type.publicationtypereportde
dcterms.accessRightsopen access
eldorado.dnb.deposittruede
eldorado.secondarypublicationfalsede

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