Massive Graph Analytics

Bader, David A.

Massive Graph Analytics
  • 出版商: CRC
  • 出版日期: 2022-07-20
  • 售價: $5,690
  • 貴賓價: 9.5 折 $5,406
  • 語言: 英文
  • 頁數: 630
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 0367464128
  • ISBN-13: 9780367464127

    • 下單後立即進貨 (約2~4週)

相關主題

商品描述

"Graphs. Such a simple idea. Map a problem onto a graph then solve it by searching over the graph or by exploring the structure of the graph. What could be easier? Turns out, however, that working with graphs is a vast and complex field. Keeping up is challenging. To help keep up, you just need an editor who knows most people working with graphs, and have that editor gather nearly 70 researchers to summarize their work with graphs. The result is the book Massive Graph Analytics."

-- Timothy G. Mattson, Senior Principal Engineer, Intel Corp

Expertise in massive-scale graph analytics is key for solving real-world grand challenges from healthcare to sustainability to detecting insider threats, cyber defense, and more. This book provides a comprehensive introduction to massive graph analytics, featuring contributions from thought leaders across academia, industry, and government.

Massive Graph Analytics 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.

商品描述(中文翻譯)

「圖形。這麼簡單的概念。將問題映射到圖形上，然後通過搜索圖形或探索圖形結構來解決問題。有什麼比這更容易的呢？然而，事實證明，處理圖形是一個龐大而複雜的領域。跟上進展是具有挑戰性的。為了幫助跟上進展，你只需要一位熟悉大多數從事圖形工作的編輯，並讓該編輯聚集近70位研究人員來總結他們在圖形方面的工作。結果就是這本名為《大規模圖形分析》的書。」
- Timothy G. Mattson，英特爾公司高級首席工程師

在解決從醫療保健到可持續性到檢測內部威脅、網絡防禦等現實世界的重大挑戰時，大規模圖形分析的專業知識至關重要。這本書提供了對大規模圖形分析的全面介紹，其中包括來自學術界、工業界和政府的思想領袖的貢獻。

《大規模圖形分析》將對學生、研究人員和從事學術界、國家實驗室和工業界的從業人員有興趣了解大規模圖形分析的最新算法、模型、框架和軟件的人士非常有益。

作者簡介

David A.Bader is a Distinguished Professor in the Department of Computer Science in the Ying Wu College of Computing and Director of the Institute for Data Science at New Jersey Institute of Technology. Prior to this, he served as founding Professor and Chair of the School of Computational Science and Engineering, College of Computing, at Georgia Institute of Technology. He is a Fellow of the IEEE, ACM, AAAS, and SIAM, and a recipient of the IEEE Sidney Fernbach Award.

作者簡介(中文翻譯)

David A.Bader是新澤西理工學院(Ying Wu College of Computing)計算機科學系的傑出教授，也是該學院數據科學研究所的所長。在此之前，他曾擔任喬治亞理工學院(Georgia Institute of Technology)計算科學與工程學院(School of Computational Science and Engineering)的創始教授和主任。他是IEEE、ACM、AAAS和SIAM的院士，並獲得了IEEE Sidney Fernbach獎。

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