Data mining and e-commerce : methods, applications, and challenges
Electronic commerce processes and data mining tools have revolutionized many companies. Data that businesses collect about customers and their transactions are the greatest assets of that business. Data mining is a set of automated techniques used to extract buried or previously unknown pieces of in...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Penerbit UTM Press
2008
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| Online Access: | http://eprints.utm.my/9427/1/MohdNoorMd2008_DataMiningAndE-Commerce.pdf |
| _version_ | 1796854511316238336 |
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| author | Rastegari, Hamid Md. Sap, Mohd. Noor |
| author_facet | Rastegari, Hamid Md. Sap, Mohd. Noor |
| author_sort | Rastegari, Hamid |
| collection | ePrints |
| description | Electronic commerce processes and data mining tools have revolutionized many companies. Data that businesses collect about customers and their transactions are the greatest assets of that business. Data mining is a set of automated techniques used to extract buried or previously unknown pieces of information from large databases, using different criteria, which makes it possible to discover patterns and relationships. This paper discusses the important role of business based on data mining knowledge development to detection the relation of data mining and electronic commerce. And express some applications and challenges in this case. |
| first_indexed | 2024-03-05T18:15:09Z |
| format | Article |
| id | utm.eprints-9427 |
| institution | Universiti Teknologi Malaysia - ePrints |
| language | English |
| last_indexed | 2024-03-05T18:15:09Z |
| publishDate | 2008 |
| publisher | Penerbit UTM Press |
| record_format | dspace |
| spelling | utm.eprints-94272017-11-01T04:17:23Z http://eprints.utm.my/9427/ Data mining and e-commerce : methods, applications, and challenges Rastegari, Hamid Md. Sap, Mohd. Noor QA75 Electronic computers. Computer science Electronic commerce processes and data mining tools have revolutionized many companies. Data that businesses collect about customers and their transactions are the greatest assets of that business. Data mining is a set of automated techniques used to extract buried or previously unknown pieces of information from large databases, using different criteria, which makes it possible to discover patterns and relationships. This paper discusses the important role of business based on data mining knowledge development to detection the relation of data mining and electronic commerce. And express some applications and challenges in this case. Penerbit UTM Press 2008-12 Article PeerReviewed application/pdf en http://eprints.utm.my/9427/1/MohdNoorMd2008_DataMiningAndE-Commerce.pdf Rastegari, Hamid and Md. Sap, Mohd. Noor (2008) Data mining and e-commerce : methods, applications, and challenges. Jurnal Teknologi Maklumat, 20 (2). pp. 116-128. ISSN 0128-3790 |
| spellingShingle | QA75 Electronic computers. Computer science Rastegari, Hamid Md. Sap, Mohd. Noor Data mining and e-commerce : methods, applications, and challenges |
| title | Data mining and e-commerce : methods, applications, and challenges |
| title_full | Data mining and e-commerce : methods, applications, and challenges |
| title_fullStr | Data mining and e-commerce : methods, applications, and challenges |
| title_full_unstemmed | Data mining and e-commerce : methods, applications, and challenges |
| title_short | Data mining and e-commerce : methods, applications, and challenges |
| title_sort | data mining and e commerce methods applications and challenges |
| topic | QA75 Electronic computers. Computer science |
| url | http://eprints.utm.my/9427/1/MohdNoorMd2008_DataMiningAndE-Commerce.pdf |
| work_keys_str_mv | AT rastegarihamid dataminingandecommercemethodsapplicationsandchallenges AT mdsapmohdnoor dataminingandecommercemethodsapplicationsandchallenges |