30 search results - page 1 / 6 » Using background knowledge to rank itemsets |
DATAMINE
2010
13 years 4 months ago
2010
Assessing the quality of discovered results is an important open problem in data mining. Such assessment is particularly vital when mining itemsets, since commonly many of the disc...
KDD
2004
ACM
14 years 5 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...
SAC
2010
ACM
13 years 11 months ago
2010
ACM
The aim of this short paper is to present a general method of using background knowledge to impose constraints in conceptual clustering of object-attribute relational data. The pr...
CIIA
2009
13 years 5 months ago
2009
Several rule discovery algorithms have the disadvantage to discover too much patterns sometimes obvious, useless or not very interesting to the user. In this paper we propose a new...
WWW
2007
ACM
14 years 5 months ago
2007
ACM
In this paper we extend the state-of-the-art in utilizing background knowledge for supervised classification by exploiting the semantic relationships between terms explicated in O...