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AUSAI
2004
Springer
13 years 11 months ago
Using Classification to Evaluate the Output of Confidence-Based Association Rule Mining
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...
Stefan Mutter, Mark Hall, Eibe Frank
AIME
2009
Springer
14 years 2 months ago
Mining Healthcare Data with Temporal Association Rules: Improvements and Assessment for a Practical Use
Abstract. The Regional Healthcare Agency (ASL) of Pavia has been maintaining a central data repository which stores healthcare data about the population of Pavia area. The analysis...
Stefano Concaro, Lucia Sacchi, Carlo Cerra, Pietro...
ESEM
2008
ACM
13 years 9 months ago
A hybrid faulty module prediction using association rule mining and logistic regression analysis
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...
Yasutaka Kamei, Akito Monden, Shuuji Morisaki, Ken...
BMCBI
2006
144views more  BMCBI 2006»
13 years 7 months ago
Association algorithm to mine the rules that govern enzyme definition and to classify protein sequences
Background: The number of sequences compiled in many genome projects is growing exponentially, but most of them have not been characterized experimentally. An automatic annotation...
Shih-Hau Chiu, Chien-Chi Chen, Gwo-Fang Yuan, Thy-...
PAAMS
2010
Springer
13 years 5 months ago
An Automatic Programming ACO-Based Algorithm for Classification Rule Mining
In this paper we present a novel algorithm, named GBAP, that jointly uses automatic programming with ant colony optimization for mining classification rules. GBAP is based on a con...
Juan Luis Olmo, Jose María Luna, José...