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Record Nr. |
UNISA996465781103316 |
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Titolo |
Algorithms and Models for the Web Graph [[electronic resource] ] : 15th International Workshop, WAW 2018, Moscow, Russia, May 17-18, 2018, Proceedings / / edited by Anthony Bonato, Paweł Prałat, Andrei Raigorodskii |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
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ISBN |
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Edizione |
[1st ed. 2018.] |
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Descrizione fisica |
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1 online resource (IX, 185 p. 34 illus.) |
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Collana |
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Theoretical Computer Science and General Issues, , 2512-2029 ; ; 10836 |
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Disciplina |
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Soggetti |
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Algorithms |
Data mining |
Information storage and retrieval systems |
Application software |
Computer networks |
Artificial intelligence |
Data Mining and Knowledge Discovery |
Information Storage and Retrieval |
Computer and Information Systems Applications |
Computer Communication Networks |
Artificial Intelligence |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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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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Sommario/riassunto |
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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 |
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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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