Titlebook: Data Mining and Knowledge Discovery Approaches Based on Rule Induction Techniques; Evangelos Triantaphyllou,Giovanni Felici Book 2006 Spri

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Mining Human Interpretable Knowledge with Fuzzy Modeling Methods: An Overview,zy decision trees that can be easily understood by a human. Past studies on generating fuzzy If-Then rules (mostly from exemplar crisp data and a few from exemplar fuzzy data) are grouped into six major categories: grid partitioning, fuzzy clustering, genetic algorithms, neural networks, hybrid meth

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Learning to Find Context Based Spelling Errors,word “sight” might become the word “site.” A spell checker cannot identify such an error. In the English language—the case of interest here—a syntax checker may also fail to catch such an error since, among other reasons, the parts-of-speech of an erroneous word may permit an acceptable parsing. Thi

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Statistical Rule Induction in the Presence of Prior Information: The Bayesian Record Linkage Problesification rule as a decision to link or not to link two records in different databases in the absence of a common identifier. When a training data set of classified cases is available, developing a rule is easy; this chapter expands the application of the technique to situations where a training da

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