Discovery of fuzzy temporal and periodic association rules
博士 === 國立中山大學 === 電機工程學系研究所 === 96 === With the rapidly growing volumes of data from various sources, new tools and computational theories are required to extract useful information (knowledge) from large databases. Data mining techniques such as association rules have been proved to be effective in...
| Main Authors: | , |
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| Format: | Others |
| Language: | en_US |
| Published: |
2008
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| Online Access: | http://ndltd.ncl.edu.tw/handle/3w6k3p |