352 search results - page 23 / 71 » Non-derivable itemset mining |
AUSDM
2007
Springer
14 years 1 months ago
2007
Springer
Mining frequent patterns such as frequent itemsets is a core operation in many important data mining tasks, such as in association rule mining. Mining frequent itemsets in high-di...
ICDM
2006
IEEE
14 years 1 months ago
2006
IEEE
High dimensionality remains a significant challenge for document clustering. Recent approaches used frequent itemsets and closed frequent itemsets to reduce dimensionality, and to...
IDA
2002
Springer
13 years 7 months ago
2002
Springer
Levelwise algorithms (e.g., the Apriori algorithm) have been proved eective for association rule mining from sparse data. However, in many practical applications, the computation ...
KDD
2007
ACM
14 years 8 months ago
2007
ACM
Data mining techniques that are successful in transaction and text data may not be simply applied to image data that contain high-dimensional features and have spatial structures....
KDD
2006
ACM
14 years 8 months ago
2006
ACM
In this work we focus on the problem of frequent itemset mining on large, out-of-core data sets. After presenting a characterization of existing out-of-core frequent itemset minin...