3 search results - page 1 / 1 » Mining dependence rules by finding largest itemset support q... |
SAC
2004
ACM
13 years 10 months ago
2004
ACM
In the paper a new data mining algorithm for finding the most interesting dependence rules is described. Dependence rules are derived from the itemsets with support significantly ...
SIGMOD
1997
ACM
13 years 8 months ago
1997
ACM
One of the most well-studied problems in data mining is mining for association rules in market basket data. Association rules, whose significance is measured via support and confi...
ICDE
2009
IEEE
14 years 6 months ago
2009
IEEE
This paper investigates the discovery of conditional functional dependencies (CFDs). CFDs are a recent extension of functional dependencies (FDs) by supporting patterns of semantic...