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» A Partial-Repeatability Approach to Data Mining
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128
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KDD
1999
ACM
152views Data Mining» more  KDD 1999»
15 years 8 months ago
Applying General Bayesian Techniques to Improve TAN Induction
Tree Augmented Naive Bayes (TAN) has shown to be competitive with state-of-the-art machine learning algorithms [3]. However, the TAN induction algorithm that appears in [3] can be...
Jesús Cerquides
145
Voted
PKDD
1999
Springer
103views Data Mining» more  PKDD 1999»
15 years 8 months ago
An Evolutionary Algorithm Using Multivariate Discretization for Decision Rule Induction
Abstract. We describe EDRL-MD, an evolutionary algorithm-based system, for learning decision rules from databases. The main novelty of our approach lies in dealing with continuous ...
Wojciech Kwedlo, Marek Kretowski
130
Voted
AUSDM
2007
Springer
101views Data Mining» more  AUSDM 2007»
15 years 7 months ago
Exploratory Multilevel Hot Spot Analysis: Australian Taxation Office Case Study
Population based real-life datasets often contain smaller clusters of unusual sub-populations. While these clusters, called `hot spots', are small and sparse, they are usuall...
Denny, Graham J. Williams, Peter Christen
137
Voted
INCDM
2010
Springer
125views Data Mining» more  INCDM 2010»
15 years 5 months ago
Web-Site Boundary Detection
Defining the boundaries of a web-site, for (say) archiving or information retrieval purposes, is an important but complicated task. In this paper a web-page clustering approach to...
Ayesh Alshukri, Frans Coenen, Michele Zito
141
Voted
SDM
2004
SIAM
224views Data Mining» more  SDM 2004»
15 years 5 months ago
Hierarchical Clustering for Thematic Browsing and Summarization of Large Sets of Association Rules
In this paper we propose a method for grouping and summarizing large sets of association rules according to the items contained in each rule. We use hierarchical clustering to par...
Alípio Jorge