A study of on-line adaption miner for interesting association rules
碩士 === 南華大學 === 資訊管理學研究所 === 91 === In the real application environment, the content of databases grows quickly and incrementally; therefore, an on-line and adaptive miner, which can efficiently mine interesting association rules from the dynamic databases, is very necessary for helping the manage...
Main Authors: | Kao-hung Lin, 林高弘 |
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Other Authors: | Hung-Pin Chiu |
Format: | Others |
Language: | zh-TW |
Published: |
2003
|
Online Access: | http://ndltd.ncl.edu.tw/handle/02691823957774509403 |
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