54 search results - page 4 / 11 » Association Rule Discovery with Unbalanced Class Distributio... |
BMCBI
2010
13 years 7 months ago
2010
Background: Data generated using `omics' technologies are characterized by high dimensionality, where the number of features measured per subject vastly exceeds the number of...
JSAI
2001
Springer
14 years 5 days ago
2001
Springer
: The cascade model is a rule induction methodology that uses level-wise expansion of a lattice. An attribute-value pair is expressed as an item, and every node in the lattice is s...
DMKD
1997
ACM
13 years 12 months ago
1997
ACM
Clustering in data mining is a discovery process that groups a set of data such that the intracluster similarity is maximized and the intercluster similarity is minimized. These d...
DGO
2007
13 years 9 months ago
2007
We present D-HOTM, a framework for Distributed Higher Order Text Mining based on named entities extracted from textual data that are stored in distributed relational databases. Unl...
KDD
1997
ACM
13 years 11 months ago
1997
ACM
This paper presents an autonomous algorithm for discovering exception rules from data sets. An exception rule, which is defined as a deviational pattern to a well-known fact, exhi...