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Algorithms and Models for the Web Graph - 14th International Workshop, WAW 2017, Toronto, ON, Canada, June 15-16, 2017, Revised Selected Papers (Paperback, 1st ed. 2017) Loot Price: R1,802
Discovery Miles 18 020
Algorithms and Models for the Web Graph - 14th International Workshop, WAW 2017, Toronto, ON, Canada, June 15-16, 2017, Revised...

Algorithms and Models for the Web Graph - 14th International Workshop, WAW 2017, Toronto, ON, Canada, June 15-16, 2017, Revised Selected Papers (Paperback, 1st ed. 2017)

Anthony Bonato, Fan Chung Graham, Pawel Pralat

Series: Theoretical Computer Science and General Issues, 10519

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Loot Price R1,802 Discovery Miles 18 020 | Repayment Terms: R169 pm x 12*

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This book constitutes the proceedings of the 14th International Workshop Algorithms and Models for the Web Graph, WAW 2017, held in Toronto, ON, Canada, in June 2017. The 7 full papers presented in this volume were carefully reviewed and selected from 14 submissions. The papers are organized around topics such as graphs that arise from the Web and various user activities on the Web; the development of high Performance algorithms and applications that exploit these graphs; graph-theoretic and algorithmic aspects of related complex networks; social networks, citation networks, biological networks; molecular networks, and other networks arising from the Internet.

General

Imprint: Springer International Publishing AG
Country of origin: Switzerland
Series: Theoretical Computer Science and General Issues, 10519
Release date: September 2017
First published: 2017
Editors: Anthony Bonato • Fan Chung Graham • Pawel Pralat
Dimensions: 235 x 155mm (L x W)
Format: Paperback
Pages: 105
Edition: 1st ed. 2017
ISBN-13: 978-3-319-67809-2
Categories: Books > Computing & IT > General theory of computing > Data structures
Books > Computing & IT > Computer programming > Algorithms & procedures
Books > Computing & IT > Applications of computing > Databases > Data mining
Books > Computing & IT > Applications of computing > Artificial intelligence > General
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LSN: 3-319-67809-4
Barcode: 9783319678092

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