An architecture for an effective usage of data mining in business intelligence systems

Bibliographic Details
Main Author: Azevedo, Ana
Publication Date: 2009
Other Authors: Santos, Manuel Filipe
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/10400.22/617
Summary: Business Intelligence (BI) is one emergent area of the Decision Support Systems (DSS) discipline. Over the last years, the evolution in this area has been considerable. Similarly, in the last years, there has been a huge growth and consolidation of the Data Mining (DM) field. DM is being used with success in BI systems, but a truly DM integration with BI is lacking. Therefore, a lack of an effective usage of DM in BI can be found in some BI systems. An architecture that pretends to conduct to an effective usage of DM in BI is presented.
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spelling An architecture for an effective usage of data mining in business intelligence systemsKnowledge discovery on databasesData miningBusiness intelligenceIntegrationBusiness Intelligence (BI) is one emergent area of the Decision Support Systems (DSS) discipline. Over the last years, the evolution in this area has been considerable. Similarly, in the last years, there has been a huge growth and consolidation of the Data Mining (DM) field. DM is being used with success in BI systems, but a truly DM integration with BI is lacking. Therefore, a lack of an effective usage of DM in BI can be found in some BI systems. An architecture that pretends to conduct to an effective usage of DM in BI is presented.Instituto Politécnico do Porto. Instituto Superior de Contabilidade e Administração do PortoREPOSITÓRIO P.PORTOAzevedo, AnaSantos, Manuel Filipe2012-08-06T11:35:35Z20092009-01-01T00:00:00Zconference objectinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10400.22/617enginfo: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:RCAAP2025-03-07T10:01:45Zoai:recipp.ipp.pt:10400.22/617Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-29T00:26:49.769864Repositórios 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 An architecture for an effective usage of data mining in business intelligence systems
title An architecture for an effective usage of data mining in business intelligence systems
spellingShingle An architecture for an effective usage of data mining in business intelligence systems
Azevedo, Ana
Knowledge discovery on databases
Data mining
Business intelligence
Integration
title_short An architecture for an effective usage of data mining in business intelligence systems
title_full An architecture for an effective usage of data mining in business intelligence systems
title_fullStr An architecture for an effective usage of data mining in business intelligence systems
title_full_unstemmed An architecture for an effective usage of data mining in business intelligence systems
title_sort An architecture for an effective usage of data mining in business intelligence systems
author Azevedo, Ana
author_facet Azevedo, Ana
Santos, Manuel Filipe
author_role author
author2 Santos, Manuel Filipe
author2_role author
dc.contributor.none.fl_str_mv REPOSITÓRIO P.PORTO
dc.contributor.author.fl_str_mv Azevedo, Ana
Santos, Manuel Filipe
dc.subject.por.fl_str_mv Knowledge discovery on databases
Data mining
Business intelligence
Integration
topic Knowledge discovery on databases
Data mining
Business intelligence
Integration
description Business Intelligence (BI) is one emergent area of the Decision Support Systems (DSS) discipline. Over the last years, the evolution in this area has been considerable. Similarly, in the last years, there has been a huge growth and consolidation of the Data Mining (DM) field. DM is being used with success in BI systems, but a truly DM integration with BI is lacking. Therefore, a lack of an effective usage of DM in BI can be found in some BI systems. An architecture that pretends to conduct to an effective usage of DM in BI is presented.
publishDate 2009
dc.date.none.fl_str_mv 2009
2009-01-01T00:00:00Z
2012-08-06T11:35:35Z
dc.type.driver.fl_str_mv conference object
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.22/617
url http://hdl.handle.net/10400.22/617
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Instituto Politécnico do Porto. Instituto Superior de Contabilidade e Administração do Porto
publisher.none.fl_str_mv Instituto Politécnico do Porto. Instituto Superior de Contabilidade e Administração do Porto
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
_version_ 1833600537237389312

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