352 search results - page 21 / 71 » Non-derivable itemset mining |
SAC
2006
ACM
14 years 1 months ago
2006
ACM
We propose a method for induction of compact optimal recommendation policies based on discovery of frequent itemsets in a purchase database, followed by the application of standar...
IDEAS
2007
IEEE
14 years 1 months ago
2007
IEEE
The transversal hypergraph enumeration based algorithms can be efficient in mining frequent itemsets, however it is difficult to apply them to sequence mining problems. In this ...
KAIS
2008
13 years 7 months ago
2008
The increasing prominence of data streams arising in a wide range of advanced applications such as fraud detection and trend learning has led to the study of online mining of freq...
DAWAK
2006
Springer
13 years 11 months ago
2006
Springer
Many privacy preserving data mining algorithms attempt to selectively hide what database owners consider as sensitive. Specifically, in the association-rules domain, many of these ...
CINQ
2004
Springer
14 years 1 months ago
2004
Springer
Mining Frequent Itemsets is the core operation of many data mining algorithms. This operation however, is very data intensive and sometimes produces a prohibitively large output. I...