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» Numbers in Multi-relational Data Mining
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ICDM
2005
IEEE
139views Data Mining» more  ICDM 2005»
15 years 10 months ago
Stability of Feature Selection Algorithms
With the proliferation of extremely high-dimensional data, feature selection algorithms have become indispensable components of the learning process. Strangely, despite extensive ...
Alexandros Kalousis, Julien Prados, Melanie Hilari...
PAKDD
2004
ACM
97views Data Mining» more  PAKDD 2004»
15 years 10 months ago
Further Applications of a Particle Visualization Framework
Our previous work introduced a 3D particle visualization framework that viewed each data point as being a particle affected by gravitational forces. We showed the use of this tool ...
Ke Yin, Ian Davidson
ICDM
2003
IEEE
158views Data Mining» more  ICDM 2003»
15 years 10 months ago
Identifying Markov Blankets with Decision Tree Induction
The Markov Blanket of a target variable is the minimum conditioning set of variables that makes the target independent of all other variables. Markov Blankets inform feature selec...
Lewis Frey, Douglas H. Fisher, Ioannis Tsamardinos...
INCDM
2010
Springer
159views Data Mining» more  INCDM 2010»
15 years 9 months ago
Semi-supervised Learning for False Alarm Reduction
Abstract. Intrusion Detection Systems (IDSs) which have been deployed in computer networks to detect a wide variety of attacks are suffering how to manage of a large number of tri...
Chien-Yi Chiu, Yuh-Jye Lee, Chien-Chung Chang, Wen...
170
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KDD
1998
ACM
106views Data Mining» more  KDD 1998»
15 years 9 months ago
Simultaneous Reliability Evaluation of Generality and Accuracy for Rule Discovery in Databases
This paper presents an algorithm for discovering conjunction rules with high reliability from data sets. The discovery of conjunction rules, each of which is a restricted form of ...
Einoshin Suzuki