|
|
|
|
| LEADER |
02889nam a22006135i 4500 |
| 001 |
978-3-642-21881-1 |
| 003 |
DE-He213 |
| 005 |
20151123192103.0 |
| 007 |
cr nn 008mamaa |
| 008 |
110701s2011 gw | s |||| 0|eng d |
| 020 |
|
|
|a 9783642218811
|9 978-3-642-21881-1
|
| 024 |
7 |
|
|a 10.1007/978-3-642-21881-1
|2 doi
|
| 040 |
|
|
|d GrThAP
|
| 050 |
|
4 |
|a Q334-342
|
| 050 |
|
4 |
|a TJ210.2-211.495
|
| 072 |
|
7 |
|a UYQ
|2 bicssc
|
| 072 |
|
7 |
|a TJFM1
|2 bicssc
|
| 072 |
|
7 |
|a COM004000
|2 bisacsh
|
| 082 |
0 |
4 |
|a 006.3
|2 23
|
| 245 |
1 |
0 |
|a Rough Sets, Fuzzy Sets, Data Mining and Granular Computing
|h [electronic resource] :
|b 13th International Conference, RSFDGrC 2011, Moscow, Russia, June 25-27, 2011. Proceedings /
|c edited by Sergei O. Kuznetsov, Dominik Ślęzak, Daryl H. Hepting, Boris G. Mirkin.
|
| 264 |
|
1 |
|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg,
|c 2011.
|
| 300 |
|
|
|a XIII, 370 p.
|b online resource.
|
| 336 |
|
|
|a text
|b txt
|2 rdacontent
|
| 337 |
|
|
|a computer
|b c
|2 rdamedia
|
| 338 |
|
|
|a online resource
|b cr
|2 rdacarrier
|
| 347 |
|
|
|a text file
|b PDF
|2 rda
|
| 490 |
1 |
|
|a Lecture Notes in Computer Science,
|x 0302-9743 ;
|v 6743
|
| 520 |
|
|
|a This book constitutes the refereed proceedings of the 13th International Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, RSFDGrC 2011, held in Moscow, Russia in June 2011. The 49 revised full papers presented together with 5 invited and 2 tutorial papers were carefully reviewed and selected from a total of 83 submissions. The papers are organized in topical sections on rough sets and approximations, coverings and granules, fuzzy set models, fuzzy set applications, compound values, feature seletion and reduction, clusters and concepts, rules and trees, image processing, and interactions and visualization.
|
| 650 |
|
0 |
|a Computer science.
|
| 650 |
|
0 |
|a Computers.
|
| 650 |
|
0 |
|a Mathematical logic.
|
| 650 |
|
0 |
|a Database management.
|
| 650 |
|
0 |
|a Data mining.
|
| 650 |
|
0 |
|a Artificial intelligence.
|
| 650 |
|
0 |
|a Pattern recognition.
|
| 650 |
1 |
4 |
|a Computer Science.
|
| 650 |
2 |
4 |
|a Artificial Intelligence (incl. Robotics).
|
| 650 |
2 |
4 |
|a Data Mining and Knowledge Discovery.
|
| 650 |
2 |
4 |
|a Database Management.
|
| 650 |
2 |
4 |
|a Mathematical Logic and Formal Languages.
|
| 650 |
2 |
4 |
|a Computation by Abstract Devices.
|
| 650 |
2 |
4 |
|a Pattern Recognition.
|
| 700 |
1 |
|
|a Kuznetsov, Sergei O.
|e editor.
|
| 700 |
1 |
|
|a Ślęzak, Dominik.
|e editor.
|
| 700 |
1 |
|
|a Hepting, Daryl H.
|e editor.
|
| 700 |
1 |
|
|a Mirkin, Boris G.
|e editor.
|
| 710 |
2 |
|
|a SpringerLink (Online service)
|
| 773 |
0 |
|
|t Springer eBooks
|
| 776 |
0 |
8 |
|i Printed edition:
|z 9783642218804
|
| 830 |
|
0 |
|a Lecture Notes in Computer Science,
|x 0302-9743 ;
|v 6743
|
| 856 |
4 |
0 |
|u http://dx.doi.org/10.1007/978-3-642-21881-1
|z Full Text via HEAL-Link
|
| 912 |
|
|
|a ZDB-2-SCS
|
| 912 |
|
|
|a ZDB-2-LNC
|
| 950 |
|
|
|a Computer Science (Springer-11645)
|
