Big Data of Complex Networks

Dehmer, Matthias | Emmert-Streib, Frank | Pickl, Stefan | Holzinger, Andreas

  • 出版商: CRC
  • 出版日期: 2016-08-04
  • 售價: $5,980
  • 貴賓價: 9.5$5,681
  • 語言: 英文
  • 頁數: 332
  • 裝訂: Hardcover
  • ISBN: 1498723616
  • ISBN-13: 9781498723619
  • 相關分類: 大數據 Big-data
  • 立即出貨 (庫存 < 3)

商品描述

Big Data of Complex Networks presents and explains the methods from the study of big data that can be used in analysing massive structural data sets, including both very large networks and sets of graphs. As well as applying statistical analysis techniques like sampling and bootstrapping in an interdisciplinary manner to produce novel techniques for analyzing massive amounts of data, this book also explores the possibilities offered by the special aspects such as computer memory in investigating large sets of complex networks.

Intended for computer scientists, statisticians and mathematicians interested in the big data and networks, Big Data of Complex Networks is also a valuable tool for researchers in the fields of visualization, data analysis, computer vision and bioinformatics.

Key features:

  • Provides a complete discussion of both the hardware and software used to organize big data
  • Describes a wide range of useful applications for managing big data and resultant data sets
  • Maintains a firm focus on massive data and large networks
  • Unveils innovative techniques to help readers handle big data

Matthias Dehmer received his PhD in computer science from the Darmstadt University of Technology, Germany. Currently, he is Professor at UMIT – The Health and Life Sciences University, Austria, and the Universität der Bundeswehr München. His research interests are in graph theory, data science, complex networks, complexity, statistics and information theory.

Frank Emmert-Streib received his PhD in theoretical physics from the University of Bremen, and is currently Associate professor at Tampere University of Technology, Finland. His research interests are in the field of computational biology, machine learning and network medicine.

Stefan Pickl holds a PhD in mathematics from the Darmstadt University of Technology, and is currently a Professor at Bundeswehr Universität München. His research interests are in operations research, systems biology, graph theory and discrete optimization.

Andreas Holzinger received his PhD in cognitive science from Graz University and his habilitation (second PhD) in computer science from Graz University of Technology. He is head of the Holzinger Group HCI-KDD at the Medical University Graz and Visiting Professor for Machine Learning in Health Informatics Vienna University of Technology.

商品描述(中文翻譯)

《複雜網絡的大數據》介紹並解釋了從大數據研究中可以用於分析大型結構數據集的方法,包括非常大的網絡和圖形集合。除了應用統計分析技術(如抽樣和自助法)以跨學科的方式產生分析大量數據的新技術外,本書還探討了計算機內存等特殊方面在研究大型複雜網絡集合方面提供的可能性。

《複雜網絡的大數據》旨在為對大數據和網絡感興趣的計算機科學家、統計學家和數學家提供有價值的工具,同時也是可視化、數據分析、計算機視覺和生物信息學等領域的研究人員的寶貴資源。

主要特點:
- 提供了有關組織大數據所使用的硬件和軟件的完整討論
- 描述了管理大數據和相應數據集的各種有用應用
- 專注於大數據和大型網絡
- 揭示了幫助讀者處理大數據的創新技術

Matthias Dehmer在德國達姆施塔特科技大學獲得計算機科學博士學位,目前是奧地利UMIT - 健康與生命科學大學和德國聯邦國防軍大學慕尼黑分校的教授。他的研究興趣包括圖論、數據科學、複雜網絡、復雜性、統計學和信息理論。

Frank Emmert-Streib在德國不來梅大學獲得理論物理博士學位,目前是芬蘭坦佩雷科技大學的副教授。他的研究興趣包括計算生物學、機器學習和網絡醫學。

Stefan Pickl在德國達姆施塔特科技大學獲得數學博士學位,目前是德國聯邦國防軍大學慕尼黑分校的教授。他的研究興趣包括運籌學、系統生物學、圖論和離散優化。

Andreas Holzinger在奧地利格拉茨大學獲得認知科學博士學位,並在格拉茨科技大學獲得計算機科學的博士學位。他是格拉茨醫學大學Holzinger Group HCI-KDD的負責人,也是維也納科技大學健康信息學機器學習的客座教授。