369 search results - page 36 / 74 » Discovering Predictive Association Rules |
BMCBI
2007
13 years 7 months ago
2007
Background: Predicting the suppression activity of antisense oligonucleotide sequences is the main goal of the rational design of nucleic acids. To create an effective predictive ...
CLIMA
2004
13 years 9 months ago
2004
Apriori Stochastic Dependency Detection (ASDD) is an algorithm for fast induction of stochastic logic rules from a database of observations made by an agent situated in an environm...
ISI
2005
Springer
14 years 1 months ago
2005
Springer
Association rule mining is an important data analysis tool that can be applied with success to a variety of domains. However, most association rule mining algorithms seek to discov...
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...
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...