Application of rough set and decision tree for characterization of premonitory factors of low seismic activity

Expert Systems with Applications

Volumn 36, Issue 1, 2009, Pages 102-110

  Sikder, Iftikhar U ^a   Munakata, Toshinori ^a  

^a Cleveland State University   (United States)

Author keywords

Decision tree; Earthquake prediction; Machine learning; Rough set theory

Indexed keywords

ARTIFICIAL INTELLIGENCE; CONCENTRATION (PROCESS); DECISION MAKING; DECISION THEORY; DECISION TREES; ENGINEERING GEOLOGY; FUZZY SETS; INFORMATION THEORY; KETONES; KNOWLEDGE REPRESENTATION; LEARNING ALGORITHMS; LEARNING SYSTEMS; MATHEMATICAL MODELS; RADON; ROBOT LEARNING; SEISMOLOGY; SET THEORY;

ASYMMETRIC DISTRIBUTION; C4.5 ALGORITHM; CROSS VALIDATIONS; DECISION RULES; DECISION TREE; DESCRIPTORS; EARTHQUAKE PREDICTION; ENVIRONMENTAL VARIABLES; INDUCTIVE MACHINE LEARNING; INFORMATION-THEORETIC MEASURES; LEAVE-ONE-OUT; MACHINE LEARNING; PREDICTIVE TECHNIQUES; RADON CONCENTRATIONS; REDUCTS; ROUGH SETS; SEISMIC ACTIVITIES; SEISMIC EVENTS; TIME DISTRIBUTIONS;

ROUGH SET THEORY;

EID: 53849084467     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2007.09.032     Document Type: Article

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