Mining Interested Information from Large Database
碩士 === 輔仁大學 === 資訊工程學系 === 88 === The destination of mining association rules is to discover the associative purchasing behaviors from each transaction of most customers. Mining sequential patterns is to discover the sequential purchasing behaviors from a large amount of the transactions of customer...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2000
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| Online Access: | http://ndltd.ncl.edu.tw/handle/98504799205938414053 |