156 search results - page 6 / 32 » Mining Frequent Itemsets from Secondary Memory |
KDD
2004
ACM
14 years 7 months ago
2004
ACM
The paper presents a method for pruning frequent itemsets based on background knowledge represented by a Bayesian network. The interestingness of an itemset is defined as the abso...
IDA
2008
Springer
13 years 7 months ago
2008
Springer
We study the problem of finding frequent items in a continuous stream of itemsets. A new frequency measure is introduced, based on a flexible window length. For a given item, its ...
ISMIS
2011
Springer
12 years 10 months ago
2011
Springer
Abstract. Frequent itemset mining can be regarded as advanced database querying where a user specifies the dataset to be mined and constraints to be satisfied by the discovered i...
AUSDM
2007
Springer
14 years 1 months ago
2007
Springer
Mining High Utility Itemsets from a transaction database is to find itemsests that have utility above a user-specified threshold. This problem is an extension of Frequent Itemset ...
IEEEHPCS
2010
13 years 5 months ago
2010
The problem of closed frequent itemset discovery is a fundamental problem of data mining, having applications in numerous domains. It is thus very important to have efficient par...