PAKDD
2010
ACM
13 years 9 months ago
2010
ACM
Abstract. Discovering interesting patterns in long sequences, and finding confident association rules within them, is a popular area in data mining. Most existing methods define...
ISCC
2002
IEEE
13 years 9 months ago
2002
IEEE
Generalized association rule mining is an extension of traditional association rule mining to discover more informative rules, given a taxonomy. In this paper, we describe a forma...
ICDM
2002
IEEE
13 years 9 months ago
2002
IEEE
Mining association rules may generate a large numbers of rules making the results hard to analyze manually. Pasquier et al. have discussed the generation of GuiguesDuquenne–Luxe...
ILP
2003
Springer
13 years 9 months ago
2003
Springer
We believe that AI programs written for discovery tasks will need to simultaneously employ a variety of reasoning techniques such as induction, abduction, deduction, calculation an...
IDEAL
2003
Springer
13 years 9 months ago
2003
Springer
This paper presents an association rule mining system that is capable of handling set-valued attributes. Our previous research has exposed us to a variety of real-world biological ...
IDEAL
2003
Springer
13 years 9 months ago
2003
Springer
In recent years interest has grown in “mining” large databases to extract novel and interesting information. Knowledge Discovery in Databases (KDD) has been recognised as an em...
AUSAI
2003
Springer
13 years 9 months ago
2003
Springer
There are many methods for finding association rules in very large data. However it is well known that most general association rule discovery methods find too many rules, which...
AIIA
2003
Springer
13 years 9 months ago
2003
Springer
A bayesian network is an appropriate tool for working with uncertainty and probability, that are typical of real-life applications. In literature we find different approaches for b...
ICDM
2003
IEEE
13 years 9 months ago
2003
IEEE
This paper presents interpretations for association rules. It first introduces Pawlak’s method, and the corresponding algorithm of finding decision rules (a kind of association ...
ICDM
2003
IEEE
13 years 9 months ago
2003
IEEE
We propose two algorithms for grouping and summarizing association rules. The first algorithm recursively groups rules according to the structure of the rules and generates a tre...