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AUSAI
2004
Springer
13 years 9 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
ADMA
2007
Springer
159views Data Mining» more  ADMA 2007»
13 years 11 months ago
A Novel Text Classification Approach Based on Enhanced Association Rule
The current research on association rule based text classification neglected several key problems. First, weights of elements in profile vectors may have much impact on generating ...
Jiangtao Qiu, Changjie Tang, Tao Zeng, Shaojie Qia...
KDD
2002
ACM
228views Data Mining» more  KDD 2002»
14 years 5 months ago
Mammography Classification By an Association Rule-based Classifier
This paper proposes a new classification method based on association rule mining. This association rule-based classifier is experimented on a real dataset; a database of medical i...
Alexandru Coman, Maria-Luiza Antonie, Osmar R. Za&...
INCDM
2009
Springer
145views Data Mining» more  INCDM 2009»
13 years 12 months ago
Application of Classification Association Rule Mining for Mammalian Mesenchymal Stem Cell Differentiation
In this paper, data mining is used to analyze the differentiation of mammalian Mesenchymal Stem Cells (MSCs). A database comprising the key parameters which, we believe, influence ...
Weiqi Wang, Yanbo J. Wang, René Baña...
ICDE
2008
IEEE
195views Database» more  ICDE 2008»
14 years 6 months ago
Scalable Rule-Based Gene Expression Data Classification
Abstract-- Current state-of-the-art association rule-based classifiers for gene expression data operate in two phases: (i) Association rule mining from training data followed by (i...
Mark A. Iwen, Willis Lang, Jignesh M. Patel