352 search results - page 13 / 71 » Non-derivable itemset mining |
SBACPAD
2003
IEEE
14 years 28 days 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...
CIVR
2006
Springer
13 years 11 months ago
2006
Springer
Abstract. We present a method for mining frequently occurring objects and scenes from videos. Object candidates are detected by finding recurring spatial arrangements of affine cov...
ICDM
2007
IEEE
14 years 2 months ago
2007
IEEE
Frequent itemsets mining is a popular framework for pattern discovery. In this framework, given a database of customer transactions, the task is to unearth all patterns in the for...
ICDM
2003
IEEE
14 years 29 days ago
2003
IEEE
Traditional methods for frequent itemset mining typically assume that data is centralized and static. Such methods impose excessive communication overhead when data is distributed...
CIKM
2009
Springer
14 years 2 months ago
2009
Springer
Mining frequent itemsets in data streams is beneficial to many real-world applications but is also a challenging task since data streams are unbounded and have high arrival rates...