Advances in Feature Selection for Data and Pattern Recognition - Intelligent Systems Reference Library
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Published By Springer International Publishing

9783319675879, 9783319675886

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Advances in Feature Selection for Data and Pattern Recognition: An Introduction

Advances in Feature Selection for Data and Pattern Recognition - Intelligent Systems Reference Library ◽

10.1007/978-3-319-67588-6_1 ◽

2017 ◽

pp. 1-9 ◽

Cited By ~ 1

Author(s):

Urszula Stańczyk ◽

Beata Zielosko ◽

Lakhmi C. Jain

Keyword(s):

Pattern Recognition ◽

Feature Selection ◽

Selection For

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Optimization of Decision Rules Relative to Length Based on Modified Dynamic Programming Approach

Advances in Feature Selection for Data and Pattern Recognition - Intelligent Systems Reference Library ◽

10.1007/978-3-319-67588-6_5 ◽

2017 ◽

pp. 73-93 ◽

Cited By ~ 2

Author(s):

Beata Zielosko ◽

Krzysztof Żabiński

Keyword(s):

Dynamic Programming ◽

Decision Rules ◽

Programming Approach ◽

Dynamic Programming Approach

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Generational Feature Elimination and Some Other Ranking Feature Selection Methods

Advances in Feature Selection for Data and Pattern Recognition - Intelligent Systems Reference Library ◽

10.1007/978-3-319-67588-6_6 ◽

2017 ◽

pp. 97-112 ◽

Cited By ~ 2

Author(s):

Wiesław Paja ◽

Krzysztof Pancerz ◽

Piotr Grochowalski

Keyword(s):

Feature Selection ◽

Selection Methods

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Attribute-Based Decision Graphs and Their Roles in Machine Learning Related Tasks

Advances in Feature Selection for Data and Pattern Recognition - Intelligent Systems Reference Library ◽

10.1007/978-3-319-67588-6_4 ◽

2017 ◽

pp. 53-71

Author(s):

João Roberto Bertini Junior ◽

Maria do Carmo Nicoletti

Keyword(s):

Machine Learning

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Evolutionary and Aggressive Sampling for Pattern Revelation and Precognition in Building Energy Managing System with Nature-Based Methods for Energy Optimization

Advances in Feature Selection for Data and Pattern Recognition - Intelligent Systems Reference Library ◽

10.1007/978-3-319-67588-6_15 ◽

2017 ◽

pp. 295-319

Author(s):

Jarosław Utracki ◽

Mariusz Boryczka

Keyword(s):

Energy Optimization ◽

Building Energy ◽

Managing System

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Visual Analysis of Relevant Features in Customer Loyalty Improvement Recommendation

Advances in Feature Selection for Data and Pattern Recognition - Intelligent Systems Reference Library ◽

10.1007/978-3-319-67588-6_14 ◽

2017 ◽

pp. 269-293 ◽

Cited By ~ 1

Author(s):

Katarzyna A. Tarnowska ◽

Zbigniew W. Raś ◽

Lynn Daniel ◽

Doug Fowler

Keyword(s):

Customer Loyalty ◽

Visual Analysis

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Improving Bagging Ensembles for Class Imbalanced Data by Active Learning

Advances in Feature Selection for Data and Pattern Recognition - Intelligent Systems Reference Library ◽

10.1007/978-3-319-67588-6_3 ◽

2017 ◽

pp. 25-52 ◽

Cited By ~ 1

Author(s):

Jerzy Błaszczyński ◽

Jerzy Stefanowski

Keyword(s):

Active Learning ◽

Imbalanced Data

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Shape Descriptions and Classes of Shapes. A Proximal Physical Geometry Approach

Advances in Feature Selection for Data and Pattern Recognition - Intelligent Systems Reference Library ◽

10.1007/978-3-319-67588-6_11 ◽

2017 ◽

pp. 203-225

Author(s):

James Francis Peters ◽

Sheela Ramanna

Keyword(s):

Physical Geometry ◽

Shape Descriptions

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Attribute Selection Based on Reduction of Numerical Attributes During Discretization

Advances in Feature Selection for Data and Pattern Recognition - Intelligent Systems Reference Library ◽

10.1007/978-3-319-67588-6_2 ◽

2017 ◽

pp. 13-24

Author(s):

Jerzy W. Grzymała-Busse ◽

Teresa Mroczek

Keyword(s):

Attribute Selection ◽

Numerical Attributes

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Feature Selection Approach for Rule-Based Knowledge Bases

Advances in Feature Selection for Data and Pattern Recognition - Intelligent Systems Reference Library ◽

10.1007/978-3-319-67588-6_9 ◽

2017 ◽

pp. 163-182

Author(s):

Agnieszka Nowak-Brzezińska

Keyword(s):

Feature Selection ◽

Knowledge Bases ◽

Rule Based ◽

Selection Approach ◽

Feature Selection Approach

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Advances in Feature Selection for Data and Pattern Recognition - Intelligent Systems Reference LibraryLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Advances in Feature Selection for Data and Pattern Recognition: An Introduction

Optimization of Decision Rules Relative to Length Based on Modified Dynamic Programming Approach

Generational Feature Elimination and Some Other Ranking Feature Selection Methods

Attribute-Based Decision Graphs and Their Roles in Machine Learning Related Tasks

Evolutionary and Aggressive Sampling for Pattern Revelation and Precognition in Building Energy Managing System with Nature-Based Methods for Energy Optimization

Visual Analysis of Relevant Features in Customer Loyalty Improvement Recommendation

Improving Bagging Ensembles for Class Imbalanced Data by Active Learning

Shape Descriptions and Classes of Shapes. A Proximal Physical Geometry Approach

Attribute Selection Based on Reduction of Numerical Attributes During Discretization

Feature Selection Approach for Rule-Based Knowledge Bases

Advances in Feature Selection for Data and Pattern Recognition - Intelligent Systems Reference Library
Latest Publications