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Title:
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AN E-COMMERCE SYSTEM INTEGRATING DATA MINING FUNCTIONALITIES |
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Author(s):
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Frank Wang , Na Helian , Yau Jim Yip |
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ISBN:
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972-98947-0-1 |
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Editors:
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António Palma dos Reis and Pedro Isaías |
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Year:
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2003 |
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Edition:
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2 |
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Keywords:
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Data mining, e-commerce, active server pages, SQL server, promotional campaign, e-mail marketing. |
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Type:
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Short Paper |
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First Page:
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941 |
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Last Page:
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944 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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The plan behind this article is to explore a semiautomated data mining system that can be used to create and maintain web based content through interactive mining operations in a hierarchical arrangement. We will prototype an Online Department Store that integrates interactive mining operations. In this e-commerce system, the data mining algorithms have been encapsulated into Microsoft SQL Server stored procedures. What we have achieved through this project is to utilise the techniques that go behind data mining for specific supplier hunting, sales statistics, promotional campaigns and e-mail marketing. We have developed a bare bones version of this e-commerce system integrating data mining. This project provides a good start in the direction of integrating data mining into e-commerce systems. |
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