Graph Analysis and Visualization: Discovering Business Opportunity in Linked Data

本书将图论从实验室带入现实世界,通过高级方法和工具,展示如何利用图和网络分析技术发现新的商业洞察和机遇。书中包含体育、金融等多个领域的案例。


Richard Brath, David Jonker

ISBN: 978-1-118-84584-4

Jan 2015

544 pages

  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •   1
  • Select type:  Paperback 
    E-BOOK $40.99
    In Stock PAPERBACK $50.00
    O-BOOK $50.00

    In Stock

    $50.00

    Description

    Wring more out of the data with a scientific approach to analysis

    Graph Analysis and Visualization brings graph theory out of the lab and into the real world. Using sophisticated methods and tools that span analysis functions, this guide shows you how to exploit graph and network analytic techniques to enable the discovery of new business insights and opportunities. Published in full color, the book describes the process of creating powerful visualizations using a rich and engaging set of examples from sports, finance, marketing, security, social media, and more. You will find practical guidance toward pattern identification and using various data sources, including Big Data, plus clear instruction on the use of software and programming. The companion website offers data sets, full code examples in Python, and links to all the tools covered in the book.

    Science has already reaped the benefit of network and graph theory, which has powered breakthroughs in physics, economics, genetics, and more. This book brings those proven techniques into the world of business, finance, strategy, and design, helping extract more information from data and better communicate the results to decision-makers.

    • Study graphical examples of networks using clear and insightful visualizations
    • Analyze specifically-curated, easy-to-use data sets from various industries
    • Learn the software tools and programming languages that extract insights from data
    • Code examples using the popular Python programming language

    There is a tremendous body of scientific work on network and graph theory, but very little of it directly applies to analyst functions outside of the core sciences – until now. Written for those seeking empirically based, systematic analysis methods and powerful tools that apply outside the lab, Graph Analysis and Visualization is a thorough, authoritative resource.

    Related Resources

    Instructor

    Request an Evaluation Copy for this title

    Richard Brath, David Jonker

    ISBN: 978-1-118-84584-4

    Jan 2015

    544 pages

  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •   1
  • Select type:  Paperback 
    E-BOOK $40.99
    In Stock PAPERBACK $50.00
    O-BOOK $50.00

    In Stock

    $50.00

    Description

    Wring more out of the data with a scientific approach to analysis

    Graph Analysis and Visualization brings graph theory out of the lab and into the real world. Using sophisticated methods and tools that span analysis functions, this guide shows you how to exploit graph and network analytic techniques to enable the discovery of new business insights and opportunities. Published in full color, the book describes the process of creating powerful visualizations using a rich and engaging set of examples from sports, finance, marketing, security, social media, and more. You will find practical guidance toward pattern identification and using various data sources, including Big Data, plus clear instruction on the use of software and programming. The companion website offers data sets, full code examples in Python, and links to all the tools covered in the book.

    Science has already reaped the benefit of network and graph theory, which has powered breakthroughs in physics, economics, genetics, and more. This book brings those proven techniques into the world of business, finance, strategy, and design, helping extract more information from data and better communicate the results to decision-makers.

    • Study graphical examples of networks using clear and insightful visualizations
    • Analyze specifically-curated, easy-to-use data sets from various industries
    • Learn the software tools and programming languages that extract insights from data
    • Code examples using the popular Python programming language

    There is a tremendous body of scientific work on network and graph theory, but very little of it directly applies to analyst functions outside of the core sciences – until now. Written for those seeking empirically based, systematic analysis methods and powerful tools that apply outside the lab, Graph Analysis and Visualization is a thorough, authoritative resource.

    Related Resources

    Instructor

    Request an Evaluation Copy for this title

    六自由度机械臂ANN人工神经网络设计:正向逆向运动学求解、正向动力学控制、拉格朗日-欧拉法推导逆向动力学方程(Matlab代码实现)内容概要:本文档围绕六自由度机械臂的ANN人工神经网络设计展开,详细介绍了正向与逆向运动学求解、正向动力学控制以及基于拉格朗日-欧拉法推导逆向动力学方程的理论与Matlab代码实现过程。文档还涵盖了PINN物理信息神经网络在微分方程求解、主动噪声控制、天线分析、电动汽车调度、储能优化等多个工程与科研领域的应用案例,并提供了丰富的Matlab/Simulink仿真资源和技术支持方向,体现了其在多学科交叉仿真与优化中的综合性价值。; 适合人群:具备一定Matlab编程基础,从事机器人控制、自动化、智能制造、电力系统或相关工程领域研究的科研人员、研究生及工程师。; 使用场景及目标:①掌握六自由度机械臂的运动学与动力学建模方法;②学习人工神经网络在复杂非线性系统控制中的应用;③借助Matlab实现动力学方程推导与仿真验证;④拓展至路径规划、优化调度、信号处理等相关课题的研究与复现。; 阅读建议:建议按目录顺序系统学习,重点关注机械臂建模与神经网络控制部分的代码实现,结合提供的网盘资源进行实践操作,并参考文中列举的优化算法与仿真方法拓展自身研究思路。
    评论
    成就一亿技术人!
    拼手气红包6.0元
    还能输入1000个字符
     
    红包 添加红包
    表情包 插入表情
     条评论被折叠 查看
    添加红包

    请填写红包祝福语或标题

    红包个数最小为10个

    红包金额最低5元

    当前余额3.43前往充值 >
    需支付:10.00
    成就一亿技术人!
    领取后你会自动成为博主和红包主的粉丝 规则
    hope_wisdom
    发出的红包
    实付
    使用余额支付
    点击重新获取
    扫码支付
    钱包余额 0

    抵扣说明:

    1.余额是钱包充值的虚拟货币,按照1:1的比例进行支付金额的抵扣。
    2.余额无法直接购买下载,可以购买VIP、付费专栏及课程。

    余额充值