DATA MINING PROCESS MODELS: A ROADMAP FOR KNOWLEDGE DISCOVERY

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dc.contributor.authorSantos, Jorge
dc.contributor.editorMoutinho, Luiz.
dc.contributor.editorKun-Huang, Huarng
dc.date.accessioned2013-01-17T16:57:08Z
dc.date.available2013-01-17T16:57:08Z
dc.date.issued2012-12
dc.description.abstractData mining applications are common for quantitative modelling management problems resolution. As their learning curve has been very much simplified, is no surprise that many users try to apply data mining methods to data bases in a non-planned way. In this chapter, the CRISP-DM process model methodology is presented with the intention of avoiding common traps in data mining applications utilization. The use of this methodology is exemplified with serveral cases of application developed by the authors.por
dc.identifier.authoremailjmas@uevora.pt
dc.identifier.citationQuantitative modelling in marketing and management / by Luiz Moutinho (University of Glasgow, UK) and Kun-Huang Huarng (Feng Chia University, Taiwan (ROC)). p. cm. ISBN 978-9814407717 (alk. paper) 1. Management--Mathematical models. 2. Marketing--Mathematical models. I. Huarng, Kun-Huang. II. Title. HD30.25.M68 2012 658.80072'7--dc23 2012031583por
dc.identifier.doi10.1142/9789814407724_0017
dc.identifier.scientificarea339por
dc.identifier.urihttp://www.worldscientific.com/doi/abs/10.1142/9789814407724_0017?prevSearch=%5BFulltext%3A+%5Bauthor%3A+Santos%2C+Jorge+M.A.%5D%5D&searchHistoryKey=
dc.identifier.urihttp://hdl.handle.net/10174/7412
dc.language.isoengpor
dc.publisherWorld Scientific Publishing Co. Pte. Ltd.por
dc.rightsopenAccesspor
dc.subjectData miningpor
dc.subjectprocess modelpor
dc.subjectCRISP-DMpor
dc.titleDATA MINING PROCESS MODELS: A ROADMAP FOR KNOWLEDGE DISCOVERYpor
dc.typebookPartpor

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