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Rough Sets Tutorial

Rough Sets Tutorial

Rough Sets Tutorial. Contents. Introduction Basic Concepts of Rough Sets Concluding Remarks (Summary, Advanced Topics, References and Further Readings). This is an abridged version of a ppt of 208 slides!!. Introduction.

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790 views • 57 slides
Rough Sets

Rough Sets

Rough Sets. Basic Concepts of Rough Sets. Information/Decision Systems (Tables) Indiscernibility Set Approximation Reducts and Core. IS is a pair ( U, A ) U is a non-empty finite set of objects. A is a non-empty finite set of attributes such that for every

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595 views • 57 slides
Rough Sets

Rough Sets

Rough Sets. Basic Concepts of Rough Sets. Information/Decision Systems (Tables) Indiscernibility Set Approximation Reducts and Core Rough Membership Dependency of Attributes. IS is a pair ( U, A ) U is a non-empty finite set of objects.

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454 views • 41 slides
Learning rules from incomplete training examples by rough sets

Learning rules from incomplete training examples by rough sets

Learning rules from incomplete training examples by rough sets. Tzung-Pei Hong, Li-Huei Tseng, Shyue-Liang Wang Expert Systems with Applications 22(2002) 285-293 2006. 5. 17(Wed). Introduction. deal with the problem of producing a set of certain and possible rules from incomplete data sets

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384 views • 24 slides
Feature Selection Based on Relative Attribute Dependency: An Experimental Study

Feature Selection Based on Relative Attribute Dependency: An Experimental Study

Feature Selection Based on Relative Attribute Dependency: An Experimental Study. Jianchao Han 1 , Ricardo Sanchez 1 , Xiaohua Hu 2 1 Computer Science Dept., California State University Dominguez Hills 2 College of Information Science and Technology, Drexel University. Agenda. Introduction

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291 views • 18 slides

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