Fundamentals of Big Data Network Analysis for Research and Industry (Hardcover)
暫譯: 大數據網絡分析的基本原理：研究與產業應用 (精裝版)

Hyunjoung Lee, Il Sohn

Fundamentals of Big Data Network Analysis for Research and Industry (Hardcover)
  • 出版商: Wiley
  • 出版日期: 2016-01-19
  • 售價: $3,180
  • 貴賓價: 9.5 折 $3,021
  • 語言: 英文
  • 頁數: 216
  • 裝訂: Hardcover
  • ISBN: 1119015588
  • ISBN-13: 9781119015581
  • 相關分類: 大數據 Big-data

    • 海外代購書籍(需單獨結帳)

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商品描述

Fundamentals of Big Data Network Analysis for Research and Industry

Hyunjoung Lee, Institute of Green Technology, Yonsei University, Republic of Korea

Il Sohn, Material Science and Engineering, Yonsei University, Republic of Korea

 

Presents the methodology of big data analysis using examples from research and industry

There are large amounts of data everywhere, and the ability to pick out crucial information is increasingly important. Contrary to popular belief, not all information is useful; big data network analysis assumes that data is not only large, but also meaningful, and this book focuses on the fundamental techniques required to extract essential information from vast datasets.

Featuring case studies drawn largely from the iron and steel industries, this book offers practical guidance which will enable readers to easily understand big data network analysis. Particular attention is paid to the methodology of network analysis, offering information on the method of data collection, on research design and analysis, and on the interpretation of results.  A variety of programs including UCINET, NetMiner, R, NodeXL, and Gephi for network analysis are covered in detail.

Fundamentals of Big Data Network Analysis for Research and Industry looks at big data from a fresh perspective, and provides a new approach to data analysis.

 

This book:

  • Explains the basic concepts in understanding big data and filtering meaningful data
  • Presents big data analysis within the networking perspective
  • Features methodology applicable to research and industry
  • Describes in detail the social relationship between big data and its implications
  • Provides insight into identifying patterns and relationships between seemingly unrelated big data

 

 

Fundamentals of Big Data Network Analysis for Research and Industry will prove a valuable resource for analysts, research engineers, industrial engineers, marketing professionals, and any individuals dealing with accumulated large data whose interest is to analyze and identify potential relationships among data sets.

 

商品描述(中文翻譯)

《大數據網路分析的基本原理：研究與產業》

李賢鍾，韓國延世大學綠色科技研究所

孫一，韓國延世大學材料科學與工程系

本書介紹了使用研究和產業範例的大數據分析方法論。

當前數據無處不在，提取關鍵信息的能力變得越來越重要。與普遍認知相反，並非所有信息都是有用的；大數據網路分析假設數據不僅量大，而且具有意義，本書專注於從龐大的數據集中提取基本信息所需的基本技術。

本書主要以鋼鐵產業的案例研究為基礎，提供實用的指導，使讀者能夠輕鬆理解大數據網路分析。特別關注網路分析的方法論，提供有關數據收集方法、研究設計與分析以及結果解釋的信息。詳細介紹了包括 UCINET、NetMiner、R、NodeXL 和 Gephi 在內的多種網路分析程序。

《大數據網路分析的基本原理：研究與產業》從全新的角度看待大數據，並提供了一種新的數據分析方法。

本書：

- 解釋理解大數據和篩選有意義數據的基本概念
- 從網路的角度呈現大數據分析
- 特別介紹適用於研究和產業的方法論
- 詳細描述大數據與其影響之間的社會關係
- 提供識別看似無關的大數據之間模式和關係的見解

《大數據網路分析的基本原理：研究與產業》將成為分析師、研究工程師、工業工程師、市場專業人士以及任何處理累積大量數據的個體的寶貴資源，幫助他們分析和識別數據集之間的潛在關係。

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