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03776nam a22006255i 4500 |
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978-3-540-71200-8 |
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DE-He213 |
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20151204160741.0 |
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cr nn 008mamaa |
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100301s2007 gw | s |||| 0|eng d |
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|a 9783540712008
|9 978-3-540-71200-8
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|a 10.1007/978-3-540-71200-8
|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 VI
|h [electronic resource] :
|b Commemorating the Life and Work of Zdzisław Pawlak, Part I /
|c edited by James F. Peters, Andrzej Skowron, Ivo Düntsch, Jerzy Grzymała-Busse, Ewa Orłowska, Lech Polkowski.
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| 264 |
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|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg,
|c 2007.
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| 300 |
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|a XII, 500 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 4374
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| 505 |
0 |
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|a Contributed Papers -- Propositional Logics from Rough Set Theory -- Intuitionistic Rough Sets for Database Applications -- An Experimental Comparison of Three Rough Set Approaches to Missing Attribute Values -- Pawlak’s Landscaping with Rough Sets -- A Comparison of Pawlak’s and Skowron–Stepaniuk’s Approximation of Concepts -- Data Preparation for Data Mining in Medical Data Sets -- A Wistech Paradigm for Intelligent Systems -- The Domain of Acoustics Seen from the Rough Sets Perspective -- Rule Evaluations, Attributes, and Rough Sets: Extension and a Case Study -- The Impact of Rough Set Research in China: In Commemoration of Professor Zdzis?aw Pawlak -- A Four-Valued Logic for Rough Set-Like Approximate Reasoning -- On Representation and Analysis of Crisp and Fuzzy Information Systems -- On Partial Covers, Reducts and Decision Rules with Weights -- A Personal View on AI, Rough Set Theory and Professor Pawlak -- Formal Topology and Information Systems -- On Conjugate Information Systems: A Proposition on How to Learn Concepts in Humane Sciences by Means of Rough Set Theory -- Discovering Association Rules in Incomplete Transactional Databases -- On Combined Classifiers, Rule Induction and Rough Sets -- Approximation Spaces in Multi Relational Knowledge Discovery -- Finding Relevant Attributes in High Dimensional Data: A Distributed Computing Hybrid Data Mining Strategy -- A Model PM for Preprocessing and Data Mining Proper Process -- Monographs -- Lattice Theory for Rough Sets.
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| 650 |
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0 |
|a Computer science.
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| 650 |
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0 |
|a Computers.
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| 650 |
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0 |
|a Mathematical logic.
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| 650 |
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0 |
|a Database management.
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| 650 |
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|a Data mining.
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| 650 |
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|a Artificial intelligence.
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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 Theory of Computation.
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| 650 |
2 |
4 |
|a Mathematical Logic and Formal Languages.
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| 650 |
2 |
4 |
|a Computation by Abstract Devices.
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| 650 |
2 |
4 |
|a Database Management.
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| 700 |
1 |
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|a Peters, James F.
|e editor.
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| 700 |
1 |
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|a Skowron, Andrzej.
|e editor.
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| 700 |
1 |
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|a Düntsch, Ivo.
|e editor.
|
| 700 |
1 |
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|a Grzymała-Busse, Jerzy.
|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 Polkowski, Lech.
|e editor.
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| 710 |
2 |
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|a SpringerLink (Online service)
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| 773 |
0 |
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|t Springer eBooks
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| 776 |
0 |
8 |
|i Printed edition:
|z 9783540711988
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| 830 |
|
0 |
|a Lecture Notes in Computer Science,
|x 1861-2059 ;
|v 4374
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| 856 |
4 |
0 |
|u http://dx.doi.org/10.1007/978-3-540-71200-8
|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)
|
