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  4. Design and Implementation of Access Mechanism and Data Mining in Electronic Commerce
 
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Design and Implementation of Access Mechanism and Data Mining in Electronic Commerce

Date Issued
1998-07-31
Date
1998-07-31
Author(s)
陳銘憲  
DOI
872213E002101
URI
http://ntur.lib.ntu.edu.tw//handle/246246/7665
Abstract
In this report, we explore a new data mining capability which involves mining Web-based association rules generated from electronic commerce services in a distributed commodities-provided environment where customers can seek for commodities of interest, travel from one node (i.e., Web page, whose location is unique in the Internet) to another node via the corresponding facilities (i.e., hyperlinks) provided, and make transactions immediately. It is important to note that, since customers are traveling the commodities-providing Web sites to search for desired commodities and make transactions in the corresponding Web nodes, Web traversal sequences and transaction records are both utilized to mine the Webbased association rule and customer behavior, showing that this problem is very different from the traversal pattern problem and others which are mainly based on customer transaction items.
Subjects
Data mining
Electronic
Commerce
Internet
World Wide Web
Publisher
臺北市:國立臺灣大學電機工程學系暨研究所
Type
report
File(s)
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872213E002101.pdf

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(MD5):0f73e6e7cde0678c0fba9981c3c872ae

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