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Algorithms and Models for the Web Graph - 15th International Workshop, WAW 2018, Moscow, Russia, May 17-18, 2018, Proceedings (Paperback, 1st ed. 2018) Loot Price: R2,032

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Algorithms and Models for the Web Graph - 15th International Workshop, WAW 2018, Moscow, Russia, May 17-18, 2018, Proceedings...

Algorithms and Models for the Web Graph - 15th International Workshop, WAW 2018, Moscow, Russia, May 17-18, 2018, Proceedings (Paperback, 1st ed. 2018)

Anthony Bonato, Pawel Pralat, Andrei Raigorodskii

Series: Theoretical Computer Science and General Issues, 10836

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Loot Price R2,032 Discovery Miles 20 320 | Repayment Terms: R190 pm x 12*

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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 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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Theoretical Computer Science and General Issues, 10836
Release date:	May 2018
First published:	2018
Editors:	Anthony Bonato • Pawel Pralat • Andrei Raigorodskii
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	185
Edition:	1st ed. 2018
ISBN-13:	978-3-319-92870-8
Categories:	Books > Computing & IT > General theory of computing > Data structures Books > Computing & IT > Computer programming > Algorithms & procedures Books > Computing & IT > Internet > Network computers Books > Computing & IT > Applications of computing > Databases > Data mining Books > Computing & IT > Applications of computing > Artificial intelligence > General Promotions
LSN:	3-319-92870-8
Barcode:	9783319928708