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03550nam a22006135i 4500 |
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978-3-540-71663-1 |
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DE-He213 |
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20151204153840.0 |
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cr nn 008mamaa |
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100301s2007 gw | s |||| 0|eng d |
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|a 9783540716631
|9 978-3-540-71663-1
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|a 10.1007/978-3-540-71663-1
|2 doi
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|d GrThAP
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|a Q334-342
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|a TJ210.2-211.495
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|a UYQ
|2 bicssc
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|a TJFM1
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|a COM004000
|2 bisacsh
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|a 006.3
|2 23
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|a Transactions on Rough Sets VII
|h [electronic resource] :
|b Commemorating the Life and Work of Zdzisław Pawlak, Part II /
|c edited by James F. Peters, Andrzej Skowron, Victor W. Marek, Ewa Orłowska, Roman Słowiński, Wojciech Ziarko.
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|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg,
|c 2007.
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|a X, 382 p.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a text file
|b PDF
|2 rda
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|a Lecture Notes in Computer Science,
|x 1861-2059 ;
|v 4400
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|a 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.
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|a Computer science.
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|a Computers.
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|a Mathematical logic.
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|a Database management.
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|a Artificial intelligence.
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|a Image processing.
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|a Computer Science.
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|a Artificial Intelligence (incl. Robotics).
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|a Mathematical Logic and Formal Languages.
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|a Computation by Abstract Devices.
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|a Database Management.
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650 |
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|a Image Processing and Computer Vision.
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700 |
1 |
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|a Peters, James F.
|e editor.
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1 |
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|a Skowron, Andrzej.
|e editor.
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700 |
1 |
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|a Marek, Victor W.
|e editor.
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700 |
1 |
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|a Orłowska, Ewa.
|e editor.
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700 |
1 |
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|a Słowiński, Roman.
|e editor.
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700 |
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|a Ziarko, Wojciech.
|e editor.
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710 |
2 |
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|a SpringerLink (Online service)
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773 |
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|t Springer eBooks
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776 |
0 |
8 |
|i Printed edition:
|z 9783540716624
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830 |
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|a Lecture Notes in Computer Science,
|x 1861-2059 ;
|v 4400
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856 |
4 |
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|u http://dx.doi.org/10.1007/978-3-540-71663-1
|z Full Text via HEAL-Link
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912 |
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|a ZDB-2-SCS
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912 |
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|a ZDB-2-LNC
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950 |
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|a Computer Science (Springer-11645)
|