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DATA MINING PROCESS MODELS: A ROADMAP FOR KNOWLEDGE DISCOVERY

Bibliographic Details
Main Author: Santos, Jorge
Publication Date: 2012
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/10174/7412
https://doi.org/10.1142/9789814407724_0017
Summary: Data 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.
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spelling DATA MINING PROCESS MODELS: A ROADMAP FOR KNOWLEDGE DISCOVERYData miningprocess modelCRISP-DMData 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.World Scientific Publishing Co. Pte. Ltd.2013-01-17T16:57:08Z2013-01-172012-12-01T00:00:00Zbook partinfo:eu-repo/semantics/publishedVersionhttp://hdl.handle.net/10174/7412http://hdl.handle.net/10174/7412https://doi.org/10.1142/9789814407724_0017engQuantitative 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 2012031583http://www.worldscientific.com/doi/abs/10.1142/9789814407724_0017?prevSearch=%5BFulltext%3A+%5Bauthor%3A+Santos%2C+Jorge+M.A.%5D%5D&searchHistoryKey=jmas@uevora.pt339Santos, Jorgeinfo:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-01-03T18:47:39Zoai:dspace.uevora.pt:10174/7412Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T11:57:17.450050Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv DATA MINING PROCESS MODELS: A ROADMAP FOR KNOWLEDGE DISCOVERY
title DATA MINING PROCESS MODELS: A ROADMAP FOR KNOWLEDGE DISCOVERY
spellingShingle DATA MINING PROCESS MODELS: A ROADMAP FOR KNOWLEDGE DISCOVERY
Santos, Jorge
Data mining
process model
CRISP-DM
title_short DATA MINING PROCESS MODELS: A ROADMAP FOR KNOWLEDGE DISCOVERY
title_full DATA MINING PROCESS MODELS: A ROADMAP FOR KNOWLEDGE DISCOVERY
title_fullStr DATA MINING PROCESS MODELS: A ROADMAP FOR KNOWLEDGE DISCOVERY
title_full_unstemmed DATA MINING PROCESS MODELS: A ROADMAP FOR KNOWLEDGE DISCOVERY
title_sort DATA MINING PROCESS MODELS: A ROADMAP FOR KNOWLEDGE DISCOVERY
author Santos, Jorge
author_facet Santos, Jorge
author_role author
dc.contributor.author.fl_str_mv Santos, Jorge
dc.subject.por.fl_str_mv Data mining
process model
CRISP-DM
topic Data mining
process model
CRISP-DM
description Data 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.
publishDate 2012
dc.date.none.fl_str_mv 2012-12-01T00:00:00Z
2013-01-17T16:57:08Z
2013-01-17
dc.type.driver.fl_str_mv book part
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10174/7412
http://hdl.handle.net/10174/7412
https://doi.org/10.1142/9789814407724_0017
url http://hdl.handle.net/10174/7412
https://doi.org/10.1142/9789814407724_0017
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Quantitative 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 2012031583
http://www.worldscientific.com/doi/abs/10.1142/9789814407724_0017?prevSearch=%5BFulltext%3A+%5Bauthor%3A+Santos%2C+Jorge+M.A.%5D%5D&searchHistoryKey=
jmas@uevora.pt
339
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv World Scientific Publishing Co. Pte. Ltd.
publisher.none.fl_str_mv World Scientific Publishing Co. Pte. Ltd.
dc.source.none.fl_str_mv reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron:RCAAP
instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron_str RCAAP
institution RCAAP
reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
repository.mail.fl_str_mv info@rcaap.pt
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