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
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Abstract
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.
Item Type: | Article |
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Uncontrolled Keywords: | data mining, e-commerce, web mining, business intelligence, web personalization. |
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
Divisions: | Computer Science and Information System |
ID Code: | 9427 |
Deposited By: | Zalinda Shuratman |
Deposited On: | 24 Nov 2009 01:55 |
Last Modified: | 01 Nov 2017 04:17 |
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