262 search results - page 18 / 53 » Generalized Closed Itemsets for Association Rule Mining |
137
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SBACPAD
2003
IEEE
15 years 7 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...
131
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CAEPIA
2003
Springer
15 years 7 months ago
2003
Springer
One of the most important tasks for determining association rules consists of calculating all the maximal frequent itemsets. Specifically, some methods to obtain these itemsets hav...
102
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PAKDD
2010
ACM
15 years 6 months ago
2010
ACM
Abstract. Discovering interesting patterns in long sequences, and finding confident association rules within them, is a popular area in data mining. Most existing methods define...
KDD
2002
ACM
16 years 2 months ago
2002
ACM
We present a framework for mining association rules from transactions consisting of categorical items where the data has been randomized to preserve privacy of individual transact...
116
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JCP
2007
15 years 1 months ago
2007
— The ability to mine large volumes of distributed datasets enables more precise decision making. However, privacy concerns should be carefully addressed when mining datasets dis...