An Improvement on Mining Association Rules Using Efficient Categorization of Large Itemsets
碩士 === 元智大學 === 電資與資訊工程研究所 === 86 === On the existing algorithms for mining association rules of data mining, the correlations between items become quite complicated when items grow larger and larger. In that case, the computing process will take tremendous time....
| Main Authors: | , |
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| Format: | Others |
| Language: | zh-TW |
| Online Access: | http://ndltd.ncl.edu.tw/handle/31590249413518618399 |