44 search results - page 1 / 9 » A probability analysis for candidate-based frequent itemset ... |
SAC
2006
ACM
13 years 10 months ago
2006
ACM
This paper explores the generation of candidates, which is an important step in frequent itemset mining algorithms, from a theoretical point of view. Important notions in our prob...
KDD
2009
ACM
14 years 4 months ago
2009
ACM
Probabilistic frequent itemset mining in uncertain transaction databases semantically and computationally differs from traditional techniques applied to standard "certain&quo...
KDD
2012
ACM
11 years 6 months ago
2012
ACM
In recent years, mining frequent itemsets over uncertain data has attracted much attention in the data mining community. Unlike the corresponding problem in deterministic data, th...
ISCI
2008
13 years 4 months ago
2008
The use of frequent itemsets has been limited by the high computational cost as well as the large number of resulting itemsets. In many real-world scenarios, however, it is often ...
ICDM
2007
IEEE
13 years 10 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...