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

Initial

Induction and Inference with Fuzzy Rules for Textual Information Retrieval,er is interested. We apply fuzzy rules to adapt user queries by fuzzy inference within a sound and complete fuzzy logic system. We show some empirical results indicating that using our unified framework, the induction and application of fuzzy rules produces a more effective textual information retrieval system.

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P. Earnshaw,A. Busuttil,A. Fergusonnal numbers to . values uses a technique called Outpoint that determines abrupt changes of classification cases. The methods of this chapter are rather new and have been found to be effective and reliable in preliminary tests.

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Deborah S. Keller,Scott R. Steeleness, statistics and logic implication, (3) to fuzzy/partially satisfied functional dependencies for handling data closeness and noise tolerance, and (4) to time-series data patterns that are associated with partial degrees.

Armory

Daniel L. Feingold,Steven A. Lee-Kongd. The essence of each method is presented. Moreover, we discuss selected studies that address most of the necessary conditions for a fuzzy model to be interpretable and highlight areas for future studies. To give an idea of where fuzzy modeling methods have been applied, major application areas are also summarized.

Promotion

Activity-Oriented Petri Nets (AOPN)the application area of record linkage, followed by a description of the Fellegi-Sunter model of record linkage. The chapter then shows how to estimate the appropriate Bayesian generalized linear model with latent classes, and, using the posterior kernels, determine the final decision rule.

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Mining Human Interpretable Knowledge with Fuzzy Modeling Methods: An Overview,d. The essence of each method is presented. Moreover, we discuss selected studies that address most of the necessary conditions for a fuzzy model to be interpretable and highlight areas for future studies. To give an idea of where fuzzy modeling methods have been applied, major application areas are also summarized.

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Statistical Rule Induction in the Presence of Prior Information: The Bayesian Record Linkage Problethe application area of record linkage, followed by a description of the Fellegi-Sunter model of record linkage. The chapter then shows how to estimate the appropriate Bayesian generalized linear model with latent classes, and, using the posterior kernels, determine the final decision rule.