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

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Encumber

色情

debble

使乳化

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Yujiro Nishioka,Junichi Shindohecision tree induction (SODI) algorithm, which uses conjunctive and disjunctive combinations of two attributes for improved decision tree induction in nominal databases. We show via numerical examples that in many cases this generates more accurate classification models and easier to interpret decision trees and rules.

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Run-Time Data Structures in GPenSIMer 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.

CAJ

燈絲

Rule Induction Through Discrete Support Vector Decision Trees,ilt by means of a multivariate split derived at each node from the approximate solution of the discrete SVM. Computational tests on well-known benchmark datasets indicate that our classifier achieves a superior trade-off between accuracy and complexity of the induced rules, outperforming other competing approaches.

討厭

Multi-Attribute Decision Trees and Decision Rules,ecision tree induction (SODI) algorithm, which uses conjunctive and disjunctive combinations of two attributes for improved decision tree induction in nominal databases. We show via numerical examples that in many cases this generates more accurate classification models and easier to interpret decision trees and rules.