Publication:
Application of data mining techniques in customer realationship management for an automobile company

dc.citedby1
dc.contributor.authorTang A.Y.C.en_US
dc.contributor.authorAzami N.H.en_US
dc.contributor.authorOsman N.en_US
dc.contributor.authorid36806985400en_US
dc.contributor.authorid54944977900en_US
dc.contributor.authorid54938661600en_US
dc.date.accessioned2023-12-29T07:47:27Z
dc.date.available2023-12-29T07:47:27Z
dc.date.issued2011
dc.description.abstractThis work analyzes well-known DM techniques in Weka workbench, and reports the simulation results of applying four selected DM techniques and classifiers in the open source workbench to the Customer Relationship Management (CRM) problem in an automobile enterprise. It is proposed that data mining techniques to be used in aiding the salesperson and management of the enterprise for effective decision making. This approach was applied to 500 preprocessed records out of 2000 raw data sets for the past 5 years. Simulation results show that the large volume of customer historical data can play a value-added role for enterprise development in a way that the mined data helps them to study customer behavior so that personalized services can be provided. This paper also discusses the evaluation results of the four classifiers used in mining the customer data. � 2011 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo6122754
dc.identifier.doi10.1109/ICIMU.2011.6122754
dc.identifier.scopus2-s2.0-84856505477
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84856505477&doi=10.1109%2fICIMU.2011.6122754&partnerID=40&md5=0be198d2baeb88523cecdf4297ecb92b
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/30405
dc.sourceScopus
dc.sourcetitle2011 International Conference on Information Technology and Multimedia: "Ubiquitous ICT for Sustainable and Green Living", ICIM 2011
dc.subjectclassifiers
dc.subjectdata mining
dc.subjectevaluation
dc.subjectWeka
dc.subjectBehavioral research
dc.subjectClassifiers
dc.subjectCustomer satisfaction
dc.subjectDecision making
dc.subjectInformation technology
dc.subjectOpen systems
dc.subjectPublic relations
dc.subjectSales
dc.subjectAutomobile companies
dc.subjectCustomer behavior
dc.subjectCustomer data
dc.subjectCustomer relationship management
dc.subjectData mining techniques
dc.subjectData sets
dc.subjectEnterprise development
dc.subjectevaluation
dc.subjectEvaluation results
dc.subjectHistorical data
dc.subjectOpen sources
dc.subjectPersonalized service
dc.subjectWeka
dc.subjectData mining
dc.titleApplication of data mining techniques in customer realationship management for an automobile companyen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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