Application of data mining techniques in customer realationship management for an automobile company
This 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 te...
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2023
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| _version_ | 1833349587684818944 |
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| author | Tang A.Y.C. Azami N.H. Osman N. |
| author2 | 36806985400 |
| author_facet | 36806985400 Tang A.Y.C. Azami N.H. Osman N. |
| author_sort | Tang A.Y.C. |
| building | UNITEN Library |
| collection | Institutional Repository |
| content_provider | Universiti Tenaga Nasional |
| content_source | UNITEN Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | This 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. |
| format | Conference Paper |
| id | my.uniten.dspace-30405 |
| institution | Universiti Tenaga Nasional |
| publishDate | 2023 |
| record_format | dspace |
| spelling | my.uniten.dspace-304052024-04-17T10:37:06Z Application of data mining techniques in customer realationship management for an automobile company Tang A.Y.C. Azami N.H. Osman N. 36806985400 54944977900 54938661600 classifiers data mining evaluation Weka Behavioral research Classifiers Customer satisfaction Decision making Information technology Open systems Public relations Sales Automobile companies Customer behavior Customer data Customer relationship management Data mining techniques Data sets Enterprise development evaluation Evaluation results Historical data Open sources Personalized service Weka Data mining This 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. Final 2023-12-29T07:47:27Z 2023-12-29T07:47:27Z 2011 Conference Paper 10.1109/ICIMU.2011.6122754 2-s2.0-84856505477 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84856505477&doi=10.1109%2fICIMU.2011.6122754&partnerID=40&md5=0be198d2baeb88523cecdf4297ecb92b https://irepository.uniten.edu.my/handle/123456789/30405 6122754 Scopus |
| spellingShingle | classifiers data mining evaluation Weka Behavioral research Classifiers Customer satisfaction Decision making Information technology Open systems Public relations Sales Automobile companies Customer behavior Customer data Customer relationship management Data mining techniques Data sets Enterprise development evaluation Evaluation results Historical data Open sources Personalized service Weka Data mining Tang A.Y.C. Azami N.H. Osman N. Application of data mining techniques in customer realationship management for an automobile company |
| title | Application of data mining techniques in customer realationship management for an automobile company |
| title_full | Application of data mining techniques in customer realationship management for an automobile company |
| title_fullStr | Application of data mining techniques in customer realationship management for an automobile company |
| title_full_unstemmed | Application of data mining techniques in customer realationship management for an automobile company |
| title_short | Application of data mining techniques in customer realationship management for an automobile company |
| title_sort | application of data mining techniques in customer realationship management for an automobile company |
| topic | classifiers data mining evaluation Weka Behavioral research Classifiers Customer satisfaction Decision making Information technology Open systems Public relations Sales Automobile companies Customer behavior Customer data Customer relationship management Data mining techniques Data sets Enterprise development evaluation Evaluation results Historical data Open sources Personalized service Weka Data mining |
| url_provider | http://dspace.uniten.edu.my/ |