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...

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Main Authors:	Rastegari, Hamid, Md. Sap, Mohd. Noor
Format:	Article
Language:	English
Published:	Penerbit UTM Press 2008
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://eprints.utm.my/id/eprint/9427/1/MohdNoorMd2008_DataMiningAndE-Commerce.pdf http://eprints.utm.my/id/eprint/9427/
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Institution:	Universiti Teknologi Malaysia
Language:	English

id	my.utm.9427
record_format	eprints
spelling	my.utm.94272017-11-01T04:17:23Z http://eprints.utm.my/id/eprint/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/id/eprint/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
institution	Universiti Teknologi Malaysia
building	UTM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Teknologi Malaysia
content_source	UTM Institutional Repository
url_provider	http://eprints.utm.my/
language	English
topic	QA75 Electronic computers. Computer science
spellingShingle	QA75 Electronic computers. Computer science Rastegari, Hamid Md. Sap, Mohd. Noor Data mining and e-commerce : methods, applications, and challenges
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.
format	Article
author	Rastegari, Hamid Md. Sap, Mohd. Noor
author_facet	Rastegari, Hamid Md. Sap, Mohd. Noor
author_sort	Rastegari, Hamid
title	Data mining and e-commerce : methods, applications, and challenges
title_short	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_sort	data mining and e-commerce : methods, applications, and challenges
publisher	Penerbit UTM Press
publishDate	2008
url	http://eprints.utm.my/id/eprint/9427/1/MohdNoorMd2008_DataMiningAndE-Commerce.pdf http://eprints.utm.my/id/eprint/9427/
_version_	1643645151850004480

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

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