184 search results - page 7 / 37 » Mining Quantitative Associations in Large Database |
ICDE
2008
IEEE
14 years 11 months ago
2008
IEEE
Mining frequent itemsets from data streams has proved to be very difficult because of computational complexity and the need for real-time response. In this paper, we introduce a no...
IDEAL
2004
Springer
14 years 3 months ago
2004
Springer
In this paper, we present PRICES, an efficient algorithm for mining association rules, which first identifies all large itemsets and then generates association rules. Our approach ...
DEXA
2004
Springer
14 years 3 months ago
2004
Springer
: In this paper, we propose a framework, called XAR-Miner, for mining ARs from XML documents efficiently and effectively. In XAR-Miner, raw XML data are first transformed to either...
SBACPAD
2003
IEEE
14 years 3 months ago
2003
IEEE
Frequent itemset mining is a classic problem in data mining. It is a non-supervised process which concerns in finding frequent patterns (or itemsets) hidden in large volumes of d...
TKDE
2008
13 years 9 months ago
2008
Association rule mining is a key issue in data mining. However, the classical models ignore the difference between the transactions, and the weighted association rule mining does n...