attribute reduction

When incremental objects are added into a decision information system, a new attribute reduction can be got by this method quickly.

Many algorithms about attribute reduction take the core as the beginning, the computation is complicated.

In the theory of rough set, attribute reduction of decision table was an important research subject.

Attribute reduction is one of the core issues of the rough set theory and it has become a hot topic of the rough set theory research.

The Attribute reduction of Information system is one of the focus of Rough Set Theory and Applied research.

The PSO attribute reduction algorithm ought to improve the efficiency, however, it has the premature convergence problem.

The methods of the attribute reduction and a method of the rule acquisition of the consistent decision table a.

Furthermore, the definition of attribute reduction in generalization rough set and its greedy algorithm were proposed.

Attribute reduction is a rough set approach in data mining that determines the set of important attributes to represent the IS.

And an algorithm for attribute reduction is presented, increase the speed of attribute reduction in incomplete information systems.

and then comes up with a new attribute reduction algorithm with the help of discernibility matrix and logic operation.

an application of neural net on attribute reduction is proposed, by which, to a greater extent, the overfitting in boosting is avoided.

The results revealed provide an actual significance to the attribute reduction, formation of decision-making rules and their effectiveness.

The attribute reduction quality, which includes reduction ratio and approximate quality, is defined to scale the reduction effectiveness.

The attribute reduction is one of the cores of Rough Set (RS) theory.

And then a simple attribute reduction algorithm is developed in continuous information systems.

This article proposes two attribute reduction algorithms from the classification quality level and equivalent level.

The user feature extraction algorithmic in this paper reference from attribute reduction and decision rule extraction of rough set theory.

Firstly, a relation information system and its attribute reduction are defined.

The attribute missing values filling, attribute reduction and the choice of decision tree branch attributes are researched in this paper.

And on this basis, an attribute reduction algorithm based on the improved differential evolutionary algorithm was put forward.

Then the corresponding definition of attribute reduction in incomplete decision table is given.

Attribute reduction, a basic conception in rough set theory, is introduced at first, then applied to forestry information management.

The practical results show that the approach is effective in solving attribute reduction.

Finally, attribute reduction in consistent decision formal context is explored.

This algorithm used powerful attribute reduction and rule making ability of the rough set.

To solve minimum attribute reduction by Differential Evolution (DE) algorithm is a new direction.

Introduct the classical rough set theory and the rough set attribute reduction method is applied to the study of feature selection.

In the process of attribute reduction, the author proves that the information quantity is monotone decreasing.

Attribute reduction in rough set theory is a NP-hard problem, which is studied mainly to design a more efficient algorithm.

This paper mainly studies attribute reduction in concept lattices based on irreducible elements and constructions of attribute reduces.

The attribute reduction of concept lattices is a kind of methods which reveals the elementary character of concept lattices attribute.

At the second part of the thesis, an algorithm of attribute reduction based on binary discernibility matrix is presented.

The attribute reduction of huge data is a difficult problem in the research of data mining.

Based on the attribute reduction of rough set, from different aspects, this paper sets up indicator screening model based on rough set.

The main results obtained are as follows: 1. based on the classical theory of rough set attribute reduction feature selection methods.

The paper offer a new heuristic attribute reduction algorithm based on conditional granularity entropy, thou.

In order to get the reduction of attribute, the paper proposes a rough set attribute reduction algorithm based on AGA .

Attribute Reduction of a Rough Set and Its Application in Forestry Information Analysis

Rough Sets; Discernibility Matrix; Attribute Reduction; Mine Local; Ventilation Facilities; Fault Diagnosis;

Variable Precision Attribute Reduction and Its Application in Rule Extraction from a Decision Table

Characteristic Attribute Reduction and Weighting Coefficient Determination in Fuzzy Fault Diagnosis

Probability Discernibility Matrix and Attribute Reduction for Incomplete Information Systems

Extension Transformation and Extension Knowledge Representation of Attribute Reduction and Date Mining

Application of Attribute Reduction in Decision Analysis of a Class of Forestry Data

A Knowledge Granulation-based Algorithm for Attribute Reduction under Incomplete Information Systems

Relative Information Quantity Representation for Attribute Reduction of Decision Tables

Attribute reduction and its performance evaluation in case-based reasoning

A discernibility matrix based attribute reduction algorithm for inconsistent decision tables

Attribute reduction of a decision table in algebra view and information view

Attribute reduction and definite decision rules optimization in set-valued decision information systems

Rough Set-based Classification and Attribute Reduction Under Incomplete Information Systems

Implementation and application of attribute reduction algorithms

Study of multi-objective optimization problem based on the rough set attribute reduction methodology

Discernibility Matrix and Approximate Quality in Attribute Reduction

Information Representation for Attribute Reduction of Decision Tables in Rough Set Theory

Rough Set-based Attribute Reduction under Incomplete Information Systems

Approach to decision rule acquisition and attribute reduction on fuzzy information table

Attribute Reduction Models of Inconsistent Decision Table and Rule Extraction

Heuristic Attribute Reduction Based on Discernibility Matrix and Its Application

Incremental algorithms for attribute reduction in decision table

Simplified Algorithm for Attribute Reduction and Value Reduction

Attribute Reduction based on Heuristic Knowledge and Its Application on Evaluation System

Attribute Reduction in Consistent Decision Formal Context

Attribute reduction of a decision table

Study on Attribute Reduction Method in Sample Information Processing

Attribute Reduction Using Attribute Variable Partition of Rough Set

Implementing Attribute Reduction by ClearMatrix Approach

The Attribute Reduction Algorithm with Local Retrospect

The Method to Attribute Reduction of Multi-valued Incomplete Decision Table

Incremental Algorithm for Attribute Reduction in Rough Set Theory

Attribute Reduction Algorithm of Discernibility Matrix Based on Compatibility Relation

Attribute Reduction Based on Information Quantity under Incomplete Information Systems

Attribute Reduction Algorithm Realization in Rough Set

Attribute Reduction Based on Relevance Degree and its Application on Group Inference

Entropy Based Attribute Reduction Algorithms for Rough Sets

An Attribute Reduction Complexity Analysis on Divide-and-Conquer

A more efficient algorithm for attribute reduction based on the binary discernible matrix

A Heuristic Algorithm of Attribute Reduction of Information System

Attribute Reduction Algorithm Based on Recursive Computing of Approximation Quality

A Novel Attribute Reduction Method Using Chi Square Statistics

Algorithm for Attribute Reduction Based on Attribute Significance of Binary Discernible Matrix

Attribute reduction in relation database

Minimal attribute reduction algorithm based on particle swarm optimization with immunity

A Modified Heuristic Algorithm of Attribute Reduction in Rough Set

A Quick Algorithm for Domain Partition in Attribute Reduction

Research on Classification Rules Mining System about Stellar Spectrum Data Based on Attribute Reduction

An Algorithm for Attribute Reduction in Fault Diagnosis of Loader

Rough sets-based algorithm for attribute reduction

Application of Attribute Reduction to Well Logging

Rough sets-based algorithm for attribute reduction

Application of Attribute Reduction to Well Logging

Rough Set Attribute Reduction Discovery

Attribute Reduction Algorithm of Incomplete Decision System Based on Tolerant Relation

Complete Algorithm of Increment for Attribute Reduction Based on Discernibility Matrix

Attribute reduction way of incomplete information system based on set covering problem

A heuristic attribute reduction algorithm based on binary discernibility matrix

Attribute Reduction in Concept Lattice

Attribute Reduction Algorithm Based on Discernibility Degree

Short-Term Load Forecasting Based on Attribute Reduction Algorithm of Rough Sets and Support Vector Machine

Short-Term Load Forecasting Based on Attribute Reduction Algorithm of Rough Sets and Support Vector Machine

Research on Attribute Reduction Algorithm Based on Discernibility Matrix

An Improved Algorithm of Attribute Reduction in Rough Set

Attribute Reduction of Incomplete Decision Table Based on Consistent Relation

Attribute reduction and rule extraction algorithms based on decision matrices

The Algorithm of Attribute Reduction Based on Information Entropy in Variable Precision Rough Set

Attribute Reduction and Rule Extraction for Earthquake Data Based on Dominance Relation Rough Set

A Modified Algorithm of Attribute Reduction in Rough Set

Attribute reduction algorithm based on logical relation equation's solutions

Principle of granularity of knowledge roughness and It's attribute reduction

Principle of granularity of knowledge roughness and It's attribute reduction

Data enrichment and rule extraction based on approximate attribute reduction in the context of rough sets

Research on the Attribute Reduction and Rule Acquisition of Time-Series Data Based on Rough Entropy

A New Algorithm of Elicitation for Attribute Reduction Based on Rough Granulation and Multi-Scale Variable

Algorithm for Attribute Reduction Based on Discernibility Matrix

A Complete Algorithm for Attribute Reduction Based on Discernibility Matrix

A Calculate Core Method on Attribute Reduction

A Research into the Attribute Reduction Technique in Data Mining Based on Rough Sets Theory

Updating Algorithm for Attribute Reduction Based on Difference Matrix

Attribute Reduction Based on Parallel Symbiotic Evolution

Attribute Reduction Based on Parallel Symbiotic Evolution

An Attribute Reduction Algorithm Based on Entropy for Incomplete Decision Table

Real Rough Set Theory and Attribute Reduction

A New Algorithm for Finding the Core in Attribute Reduction

Research on Attribute Reduction Methods Based on Information Entropy

A Bi-directional Selection Attribute Reduction Algorithm Based on Rough Sets Theory

An Algorithm of Attribute Reduction of Decisive Table Based on Attribute Importance

Algorithm of Attribute Reduction Based on Attribute Frequency Function in Rough Set

Fast attribute reduction algorithm of rough set based on discernibility matrix

Attribute Reduction Algorithm Based on Reduction Pruning

Attribute Reduction Algorithm Based on Reduction Pruning

Implementing Attribute Reduction Algorithm Based on Rough Set Theory Using VB

Improved heuristic algorithm of attribute reduction based on rough set theory

An Approach to Attribute Reduction Based on Developed Variable Universal

Attribute Reduction Algorithm Based on Rough Set and Database Technology

An attribute reduction algorithm based on conditional entropy

An attribute reduction algorithm based on the information quantity

Research on Attribute Reduction Methods Based on Genetic Algorithm

An Algorithm of Attribute Reduction Based on Discernibility Matrix

Relative core calculation of attribute reduction based on divide and conquer

Relative core calculation of attribute reduction based on divide and conquer

Algorithm for Attribute Reduction Based on the Record Comparison Table

A Heuristic Algorithm of Attribute Reduction Based on Evaluation Index

Building Concept Lattices Based on Attribute Reduction

An Approach for Attribute Reduction Based on Discernibility Matrix of Rough Set

Attribute Reduction Algorithm Based on the Relative Entropy

A Study on Datum Tapping Technology Based On Unrefined Attribute Reduction

Attribute reduction of groundwater quality index based on the rough set theory

Fuzzy pattern recognition based on rough set attribute reduction

Decision table algorithm based on attribute reduction

Decision table algorithm based on attribute reduction

Fuzzy Synthetic Judgment Based on Attribute Reduction

Maintenance Level Decision of Civil Aviation Engine Based on Comntropy Attribute Reduction

An attribute reduction algorithm of rough set based on discernable matrix

Rough set attribute reduction based on mutual information and Beam search

An Approach for Attribute Reduction and Rule Generation Based on Rough Set Theory

An Incremental Algorithm of Attribute Reduction Based on Rough Logic

Attribute reduction based on partition in information system

An Improved Attribute Reduction Algorithm Based on Rough Set Theory

Attribute Reduction Method Based on Rough Sets and Ant Colony Algorithm

Attribute Reduction Method Based on Rough Sets and Ant Colony Algorithm

Attribute Reduction to Traffic Flow in Area Traffic Control Based on Rough Sets

A New Method of Attribute Reduction of Decision Table Based on Discernibility Matrix

An Improved Attribute Reduction Algorithm Based on the Fuzzy-Rough Set

An Attribute Reduction Algorithm Based on the Relation Matrix of Rough Set

Improved algorithm of attribute reduction based on rough sets

An Algorithm of Attribute Reduction Based on Data Analysis Method

The attribute reduction of matrix algorithm based on rough set theory

An Approach for Attribute Reduction Based on Rough Set Theory

An Attribute Reduction Algorithm Based on Fuzzy-rough Set and It's Application in Medical Image Area

An Attribute Reduction Algorithm Based on Fuzzy-rough Set and It's Application in Medical Image Area

Rough Set Attribute Reduction Algorithm Based on GA

Method of attribute reduction of decision table based on the information view of rough sets theory

The Study and Application about the EA of Rough Set Attribute Reduction