Propositionalized attribute taxonomies from data for data-driven construction of concise classifiers

Expert Systems with Applications

Volumn 38, Issue 10, 2011, Pages 12739-12746

  Kang, Dae Ki ^a   Kim, Myoung Jong ^b  

^a Dongseo University   (South Korea)

^b Pusan National University   (South Korea)

Author keywords

Naive Bayes learner; Propositionalization; Taxonomy

Indexed keywords

AKAIKE INFORMATION CRITERION; BENCHMARK DATA; DATA-DRIVEN CONSTRUCTION; INFORMATION THEORETIC CRITERION; LOG LIKELIHOOD; MACHINE LEARNING ALGORITHMS; MACHINE-LEARNING; MINIMUM DESCRIPTION LENGTH; NAIVE BAYES CLASSIFIERS; NAIVE BAYES LEARNER; PROPOSITIONALIZATION;

INFORMATION THEORY; LEARNING SYSTEMS; OPTIMIZATION; SPAMMING; TAXONOMIES;

LEARNING ALGORITHMS;

EID: 79958001551     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2011.04.062     Document Type: Article

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