18 search results - page 1 / 4 » Connections between Mining Frequent Itemsets and Learning Ge... |
ICDM
2007
IEEE
13 years 11 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...
DATAMINE
2010
13 years 4 months ago
2010
In this article we show that there is a strong connection between decision tree learning and local pattern mining. This connection allows us to solve the computationally hard probl...
SBACPAD
2003
IEEE
13 years 10 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...
KDD
2006
ACM
14 years 5 months ago
2006
ACM
1 A bridging rule in this paper has its antecedent and action from different conceptual clusters. We first design two algorithms for mining bridging rules between clusters in a dat...
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...