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03867nam a22006375i 4500 |
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978-3-319-60438-1 |
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170613s2017 gw | s |||| 0|eng d |
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|a 9783319604381
|9 978-3-319-60438-1
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|a 10.1007/978-3-319-60438-1
|2 doi
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|a Foundations of Intelligent Systems
|h [electronic resource] :
|b 23rd International Symposium, ISMIS 2017, Warsaw, Poland, June 26-29, 2017, Proceedings /
|c edited by Marzena Kryszkiewicz, Annalisa Appice, Dominik Ślęzak, Henryk Rybinski, Andrzej Skowron, Zbigniew W. Raś.
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|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2017.
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| 300 |
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|a XXIX, 747 p. 182 illus.
|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
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|a text file
|b PDF
|2 rda
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|a Lecture Notes in Computer Science,
|x 0302-9743 ;
|v 10352
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| 505 |
0 |
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|a Machine learning -- data mining methods -- deep learning, bioinformatics and health informatics -- intelligent information systems -- knowledge-based system -- mining temporal, spatial and spatio-temporal data -- text and Web mining -- big data analytics and stream data mining -- granular and soft clustering for data science -- knowledge discovery with formal concept analysis and related formalisms -- data mining competition on trading based on recommendations.
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|a This book constitutes the proceedings of the 23rd International Symposium on Foundations of Intelligent Systems, ISMIS 2017, held in Warsaw, Poland, in June 2017. The 56 regular and 15 short papers presented in this volume were carefully reviewed and selected from 118 submissions. The papers include both theoretical and practical aspects of machine learning, data mining methods, deep learning, bioinformatics and health informatics, intelligent information systems, knowledge-based systems, mining temporal, spatial and spatio-temporal data, text and Web mining. In addition, four special sessions were organized; namely, Special Session on Big Data Analytics and Stream Data Mining, Special Session on Granular and Soft Clustering for Data Science, Special Session on Knowledge Discovery with Formal Concept Analysis and Related Formalisms, and Special Session devoted to ISMIS 2017 Data Mining Competition on Trading Based on Recommendations, which was launched as a part of the conference.
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| 650 |
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|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 Data mining.
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| 650 |
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0 |
|a Information storage and retrieval.
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| 650 |
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0 |
|a Artificial intelligence.
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| 650 |
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|a Computational linguistics.
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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 Language Translation and Linguistics.
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| 650 |
2 |
4 |
|a Theory of Computation.
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| 650 |
2 |
4 |
|a Information Systems Applications (incl. Internet).
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| 650 |
2 |
4 |
|a Information Storage and Retrieval.
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| 700 |
1 |
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|a Kryszkiewicz, Marzena.
|e editor.
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| 700 |
1 |
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|a Appice, Annalisa.
|e editor.
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| 700 |
1 |
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|a Ślęzak, Dominik.
|e editor.
|
| 700 |
1 |
|
|a Rybinski, Henryk.
|e editor.
|
| 700 |
1 |
|
|a Skowron, Andrzej.
|e editor.
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| 700 |
1 |
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|a Raś, Zbigniew W.
|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
|
| 776 |
0 |
8 |
|i Printed edition:
|z 9783319604374
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| 830 |
|
0 |
|a Lecture Notes in Computer Science,
|x 0302-9743 ;
|v 10352
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| 856 |
4 |
0 |
|u http://dx.doi.org/10.1007/978-3-319-60438-1
|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)
|
