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03620nam a22006495i 4500 |
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978-3-540-27794-1 |
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DE-He213 |
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20151204144732.0 |
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cr nn 008mamaa |
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121227s2004 gw | s |||| 0|eng d |
| 020 |
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|a 9783540277941
|9 978-3-540-27794-1
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| 024 |
7 |
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|a 10.1007/b98175
|2 doi
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| 040 |
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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
|2 bicssc
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|a COM004000
|2 bisacsh
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4 |
|a 006.3
|2 23
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| 245 |
1 |
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|a Transactions on Rough Sets I
|h [electronic resource] :
|b James F. Peters - Andrzej Skowron, Editors-in-Chief /
|c edited by James F. Peters, Andrzej Skowron, Jerzy W. Grzymała-Busse, Bożena Kostek, Roman W. Świniarski, Marcin S. Szczuka.
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| 264 |
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1 |
|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg,
|c 2004.
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| 300 |
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|a X, 406 p.
|b online resource.
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| 336 |
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|a text
|b txt
|2 rdacontent
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| 337 |
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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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| 490 |
1 |
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|a Lecture Notes in Computer Science,
|x 0302-9743 ;
|v 3100
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| 505 |
0 |
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|a Rough Sets – Introduction -- Some Issues on Rough Sets -- Rough Sets – Theory -- Learning Rules from Very Large Databases Using Rough Multisets -- Data with Missing Attribute Values: Generalization of Indiscernibility Relation and Rule Induction -- Generalizations of Rough Sets and Rule Extraction -- Towards Scalable Algorithms for Discovering Rough Set Reducts -- Variable Precision Fuzzy Rough Sets -- Greedy Algorithm of Decision Tree Construction for Real Data Tables -- Consistency Measures for Conflict Profiles -- Layered Learning for Concept Synthesis -- Basic Algorithms and Tools for Rough Non-deterministic Information Analysis -- A Partition Model of Granular Computing -- Rough Sets – Applications -- Musical Phrase Representation and Recognition by Means of Neural Networks and Rough Sets -- Processing of Musical Metadata Employing Pawlak’s Flow Graphs -- Data Decomposition and Decision Rule Joining for Classification of Data with Missing Values -- Rough Sets and Relational Learning -- Approximation Space for Software Models -- Application of Rough Sets to Environmental Engineering Models -- Rough Set Theory and Decision Rules in Data Analysis of Breast Cancer Patients -- Independent Component Analysis, Principal Component Analysis and Rough Sets in Face Recognition.
|
| 650 |
|
0 |
|a Computer science.
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| 650 |
|
0 |
|a Computers.
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| 650 |
|
0 |
|a Mathematical logic.
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| 650 |
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0 |
|a Database management.
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| 650 |
|
0 |
|a Data mining.
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| 650 |
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0 |
|a Artificial intelligence.
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| 650 |
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0 |
|a Pattern recognition.
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| 650 |
1 |
4 |
|a Computer Science.
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| 650 |
2 |
4 |
|a Artificial Intelligence (incl. Robotics).
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| 650 |
2 |
4 |
|a Data Mining and Knowledge Discovery.
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| 650 |
2 |
4 |
|a Computation by Abstract Devices.
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| 650 |
2 |
4 |
|a Mathematical Logic and Formal Languages.
|
| 650 |
2 |
4 |
|a Database Management.
|
| 650 |
2 |
4 |
|a Pattern Recognition.
|
| 700 |
1 |
|
|a Peters, James F.
|e editor.
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| 700 |
1 |
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|a Skowron, Andrzej.
|e editor.
|
| 700 |
1 |
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|a Grzymała-Busse, Jerzy W.
|e editor.
|
| 700 |
1 |
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|a Kostek, Bożena.
|e editor.
|
| 700 |
1 |
|
|a Świniarski, Roman W.
|e editor.
|
| 700 |
1 |
|
|a Szczuka, Marcin S.
|e editor.
|
| 710 |
2 |
|
|a SpringerLink (Online service)
|
| 773 |
0 |
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|t Springer eBooks
|
| 776 |
0 |
8 |
|i Printed edition:
|z 9783540223740
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| 830 |
|
0 |
|a Lecture Notes in Computer Science,
|x 0302-9743 ;
|v 3100
|
| 856 |
4 |
0 |
|u http://dx.doi.org/10.1007/b98175
|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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| 912 |
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|a ZDB-2-BAE
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| 950 |
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|a Computer Science (Springer-11645)
|
