Massive graph analytics

Massive graph analytics

by Bader, David A.

Type Book
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Expertise in massive scale graph analytics is key for solving real-world grand challenges from health to sustainability to detecting insider threats, cyber defense, and more. Massive Graph Analytics provides a comprehensive introduction to massive graph analytics, featuring contributions from thought leaders across academia, industry, and government. The book will be beneficial to students, researchers and practitioners, in academia, national laboratories, and industry, who wish to learn about …

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Title Statements

  • Full title :Massive graph analytics / edited by David A. Bader.

Summary

Expertise in massive scale graph analytics is key for solving real-world grand challenges from health to sustainability to detecting insider threats, cyber defense, and more. Massive Graph Analytics provides a comprehensive introduction to massive graph analytics, featuring contributions from thought leaders across academia, industry, and government. The book will be beneficial to students, researchers and practitioners, in academia, national laboratories, and industry, who wish to learn about the state-of-the-art algorithms, models, frameworks, and software in massive scale graph analytics.

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Edition Statements

  • Publication Date:2022.
  • Edition:First edition

Publication Statements

  • Publisher(s):Chapman and Hall/CRC
  • Place of Publication:Place of publication not identified
  • Language:eng
  • Publication Date:2022.

The Physical Object

  • Description:1 online resource (544 pages)

Edition Identifiers

  • ISBN:9781003033707, 1003033709, 9781000538694, 1000538699, 9781000538618, 1000538613
  • oclc:on1273728002
  • LC Classification:QA166
  • Dewey Decimal:511/.5

Table of Contents

About the EditorList of ContributorsIntroductionAlgorithms: Search and PathsA Work-Efficient Parallel Breadth-First Search Algorithm (or How to Cope With the Nondeterminism of Reducers)Charles E. Leiserson and Tao B. Schardl Multi-Objective Shortest PathsStephan Erb, Moritz Kobitzsch, Lawrence Mandow, and Peter Sanders Algorithms: Structure Multicore Algorithms for Graph Connectivity ProblemsGeorge M. Slota, Sivasankaran Rajamanickam, and Kamesh Madduri Distributed Memory Parallel Algorithms for Massive GraphsMaksudul Alam, Shaikh Arifuzzaman, Hasanuzzaman Bhuiyan, Maleq Khan, V.S. Anil Kumar, and Madhav Marathe Efficient Multi-core Algorithms for Computing Spanning Forests and Connected ComponentsFredrik Manne, Md. Mostofa Ali Patwary Massive-Scale Distributed Triangle Computation and ApplicationsGeoffrey Sanders, Roger Pearce, Benjamin W. Priest, Trevor Steil Algorithms and Applications Computing Top-k Closeness Centrality in Fully-dynamic GraphsEugenio Angriman, Patrick Bisenius, Elisabetta Bergamini, Henning Meyerhenke Ordering Heuristics for Parallel Graph ColoringWilliam Hasenplaugh, Tim Kaler, Tao B. Schardl, and Charles E. Leiserson Partitioning Trillion Edge GraphsGeorge …

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Subjects

Algorithmes de graphes Big data BUSINESS & ECONOMICS -- Statistics Computers -- Computer Graphics Computers, General Data Mining Données volumineuses Exploration de données (Informatique) graph algorithms Graph theory -- Data processing

Writers

Bader, David A.

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