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[1] Wu Bing*, Zhao Lindu,. Web Mining Model Based on Rough Set Theory [J]. Journal of Southeast University (English Edition), 2002, 18 (1): 54-58. [doi:10.3969/j.issn.1003-7985.2002.01.010]
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Web Mining Model Based on Rough Set Theory()
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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:
18
Issue:
2002 1
Page:
54-58
Research Field:
Computer Science and Engineering
Publishing date:
2002-03-30

Info

Title:
Web Mining Model Based on Rough Set Theory
Author(s):
Wu Bing* Zhao Lindu
School of Economics and Management, Southeast University, Nanjing 210096, China
Keywords:
Web mining rough sets electronic commerce knowledge reasoning Web log
PACS:
TP311.131
DOI:
10.3969/j.issn.1003-7985.2002.01.010
Abstract:
Due to a great deal of valuable information contained in the Web log file, the result of Web mining can be used to enhance the decision-making for electronic commerce(EC)operation and management. Because of ambiguous and abundance of the Web log file, the least decision-making model based on rough set theory was presented for Web mining. And an example was given to explain the model. The model can predigest the decision-making table, so that the least solution of the table can be acquired. According to the least solution, the corresponding decision for individual service can be made in sequence. Web mining based on rough set theory is also currently the original and particular method.

References:

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Memo

Memo:
* Born in 1974, female, graduate.
Last Update: 2002-03-20