Universiti Teknologi Malaysia Institutional Repository

Data mining and e-commerce : methods, applications, and challenges

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



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
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 (Formerly known)
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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