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180604 ||| eng |
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|a 9783319928715
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|a Bonato, Anthony
|e [editor]
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| 245 |
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|a Algorithms and Models for the Web Graph
|h Elektronische Ressource
|b 15th International Workshop, WAW 2018, Moscow, Russia, May 17-18, 2018, Proceedings
|c edited by Anthony Bonato, Paweł Prałat, Andrei Raigorodskii
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| 250 |
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|a 1st ed. 2018
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| 260 |
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|a Cham
|b Springer International Publishing
|c 2018, 2018
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| 300 |
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|a IX, 185 p. 34 illus
|b online resource
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| 505 |
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|a Information retrieval and data mining on the Web -- Web as a text repository and as a graph, induced in various ways by link among pages, hosts and users -- The understanding of graphs that arise from the Web and various user activities on the Web -- Stimulation of the development of high-performance algorithms and applications that exploit these graphs
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| 653 |
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|a Computer Communication Networks
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| 653 |
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|a Algorithms
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| 653 |
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|a Information Storage and Retrieval
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| 653 |
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|a Artificial Intelligence
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| 653 |
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|a Data mining
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| 653 |
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|a Application software
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| 653 |
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|a Information storage and retrieval systems
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| 653 |
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|a Computer networks
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| 653 |
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|a Artificial intelligence
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| 653 |
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|a Data Mining and Knowledge Discovery
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| 653 |
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|a Computer and Information Systems Applications
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| 700 |
1 |
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|a Prałat, Paweł
|e [editor]
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| 700 |
1 |
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|a Raigorodskii, Andrei
|e [editor]
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| 041 |
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7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b Springer
|a Springer eBooks 2005-
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| 490 |
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|a Theoretical Computer Science and General Issues
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| 028 |
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|a 10.1007/978-3-319-92871-5
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| 856 |
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|u https://doi.org/10.1007/978-3-319-92871-5?nosfx=y
|x Verlag
|3 Volltext
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| 082 |
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|a 518.1
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| 520 |
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|a This book constitutes the proceedings of the 15th International Workshop on Algorithms and Models for the Web Graph, WAW 2018, held in Moscow, Russia in May 2018. The 11 full papers presented in this volume were carefully reviewed and selected from various submissions. The papers focus on topics like the information retrieval and data mining on the Web; Web as a text repository and as a graph, induced in various ways by link among pages, hosts and users; the understanding of graphs that arise from the Web and various user activities on the Web; stimulation of the development of high-performance algorithms and applications that exploit these graphs
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