295 search results - page 28 / 59 » Finding Interesting Rules from Large Sets of Discovered Asso... |
CORR
2010
Springer
13 years 8 months ago
2010
Springer
In general frequent itemsets are generated from large data sets by applying association rule mining algorithms like Apriori, Partition, Pincer-Search, Incremental, Border algorithm...
ICDM
2003
IEEE
14 years 1 months ago
2003
IEEE
Automatic classification of documents is an important area of research with many applications in the fields of document searching, forensics and others. Methods to perform class...
KDD
2005
ACM
14 years 8 months ago
2005
ACM
We consider a model in which background knowledge on a given domain of interest is available in terms of a Bayesian network, in addition to a large database. The mining problem is...
ECML
1993
Springer
14 years 8 hour ago
1993
Springer
This paper describes a genetic learning system called SIA, which learns attributes based rules from a set of preclassified examples. Examples may be described with a variable numbe...
ADC
2003
Springer
14 years 1 months ago
2003
Springer
Discovering association rules that identify relationships among sets of items is an important problem in data mining. Finding frequent item sets is computationally the most expens...