Advances in Feature Selection for Data and Pattern Recognition

1. Advances in Feature Selection for Data and Pattern Recognition: An Introduction
Urszula Stańczyk, Beata Zielosko, Lakhmi C. Jain

Part I. Nature and Representation of Data

2. Attribute Selection Based on Reduction of Numerical Attributes During Discretization
Jerzy W. Grzymała-Busse, Teresa Mroczek

3. Improving BaggingEnsembles for Class Imbalanced Data by ActiveLearning
Jerzy Błaszczyński, Jerzy Stefanowski

4. Attribute-Based Decision Graphs and Their Roles in Machine Learning Related Tasks
João Roberto Bertini Junior, Maria do Carmo Nicoletti

5. Optimization of Decision Rules Relative to Length Based on Modified Dynamic Programming Approach
Beata Zielosko, Krzysztof Żabiński

Part II. Ranking and Exploration of Features

6. Generational Feature Elimination and Some Other Ranking Feature Selection Methods
Wiesław Paja, Krzysztof Pancerz, Piotr Grochowalski

7. Ranking-Based Rule Classifier Optimisation
Urszula Stańczyk

8. Attribute Selection in a Dispersed Decision-Making System
Małgorzata Przybyła-Kasperek

9. Feature Selection Approach for Rule-Based Knowledge Bases
Agnieszka Nowak-Brzezińska

Part III. Image, Shape, Motion, and Audio Detection and Recognition

10. Feature Selection with a Genetic Algorithm for Classification of Brain Imaging Data
Annamária Szenkovits, Regina Meszlényi, Krisztian Buza, Noémi Gaskó, Rodica Ioana Lung, Mihai Suciu

11. Shape Descriptions and Classes of Shapes. A Proximal Physical Geometry Approach
James Francis Peters, Sheela Ramanna

12. Comparison of Classification Methods for EEG Signals of Real and Imaginary Motion
Piotr Szczuko, Michał Lech, Andrzej Czyżewski

13. Application of Tolerance Near Sets to Audio Signal Classification
Ashmeet Singh, Sheela Ramanna

Part IV. Decision Support Systems

14. Visual Analysis of Relevant Features in Customer Loyalty Improvement Recommendation
Katarzyna A. Tarnowska, Zbigniew W. Raś, Lynn Daniel, Doug Fowler

15. Evolutionary and Aggressive Sampling for Pattern Revelation and Precognition in Building Energy Managing System with Nature-Based Methods for Energy Optimization
Jarosław Utracki, Mariusz Boryczka

Nyckelord: Engineering, Computational Intelligence, Artificial Intelligence (incl. Robotics), Pattern Recognition, Data Mining and Knowledge Discovery