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KDD
1999
ACM
152views Data Mining» more  KDD 1999»
15 years 10 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
PKDD
1999
Springer
103views Data Mining» more  PKDD 1999»
15 years 10 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
PKDD
1999
Springer
101views Data Mining» more  PKDD 1999»
15 years 10 months ago
Rule Induction in Cascade Model Based on Sum of Squares Decomposition
A cascade model is a rule induction methodology using levelwise expansion of an itemset lattice, where the explanatory power of a rule set and its constituent rules are quantitativ...
Takashi Okada
KDD
1998
ACM
228views Data Mining» more  KDD 1998»
15 years 10 months ago
Direct Marketing Response Models Using Genetic Algorithms
Direct marketing response models seek to identify individuals most likely to respond to marketing solicitations. Such models are commonly evaluatedon classification accuracyand so...
Siddhartha Bhattacharyya
KDD
1998
ACM
102views Data Mining» more  KDD 1998»
15 years 10 months ago
Joins that Generalize: Text Classification Using WHIRL
WHIRL is an extensionof relational databasesthat canperform "soft joins" basedon the similarity of textual identifiers;thesesoftjoins extendthe traditional operationof j...
William W. Cohen, Haym Hirsh