518 search results - page 8 / 104 » Analysis of sampling techniques for association rule mining |
ESEM
2008
ACM
13 years 10 months ago
2008
ACM
This paper proposes a fault-prone module prediction method that combines association rule mining with logistic regression analysis. In the proposed method, we focus on three key m...
DSS
2007
13 years 8 months ago
2007
We present two algorithms for learning large-scale gene regulatory networks from microarray data: a modified informationtheory-based Bayesian network algorithm and a modified asso...
SDM
2004
SIAM
13 years 9 months ago
2004
SIAM
Previous approaches for mining association rules generate large sets of association rules. Such sets are difficult for users to understand and manage. Here, the concept of a restri...
PAKDD
2004
ACM
14 years 1 months ago
2004
ACM
GRD is an algorithm for k-most interesting rule discovery. In contrast to association rule discovery, GRD does not require the use of a minimum support constraint. Rather, the user...
AUSAI
2004
Springer
14 years 3 days ago
2004
Springer
Abstract. Association rule mining is a data mining technique that reveals interesting relationships in a database. Existing approaches employ different parameters to search for int...