UID:
almahu_9947364037002882
Format:
X, 382 p.
,
online resource.
ISBN:
9783540716631
Series Statement:
Lecture Notes in Computer Science, 4400
Note:
Contributed Papers -- Speech Coding Employing Intelligent Signal Processing Techniques -- Relational Attribute Systems II: Reasoning with Relations in Information Structures -- Dominance-Based Rough Set Approach as a Proper Way of Handling Graduality in Rough Set Theory -- Deriving Belief Networks and Belief Rules from Data: A Progress Report -- Selection of Important Attributes for Medical Diagnosis Systems -- Using Approximate Reduct and LVQ in Case Generation for CBR Classifiers -- Mining Rough Association from Text Documents for Web Information Gathering -- Applications of Rough Set Based K-Means, Kohonen SOM, GA Clustering -- Characterizing Pawlak’s Approximation Operators -- Application of Rough Sets in Pattern Recognition -- Lower and Upper Approximations in Data Tables Containing Possibilistic Information -- Hybrid Rough Sets-Population Based System -- Hybrid Rough Sets Intelligent System Architecture for Survival Analysis -- Rough Sets in Bioinformatics -- Rough Feature Selection for Intelligent Classifiers -- Granulation as a Privacy Protection Mechanism -- A Note on Definability and Approximations -- Feature Selection in Audiovisual Emotion Recognition Based on Rough Set Theory -- Monographs -- Novel Classification and Segmentation Techniques with Application to Remotely Sensed Images.
In:
Springer eBooks
Additional Edition:
Printed edition: ISBN 9783540716624
Language:
English
Subjects:
Computer Science
DOI:
10.1007/978-3-540-71663-1
URL:
http://dx.doi.org/10.1007/978-3-540-71663-1