Graph analysis and visualization : discovering business opportunity in linked data

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 opportunitie...

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Bibliographic Details
Main Authors: Brath, Richard, (Author), Jonker, David, (Author)
Format: eBook
Language: English
Published: Indianapolis, IN : John Wiley & Sons, [2015]
Subjects:
ISBN: 9781118845875
9781118845691
9781322776187
9781119183662
9781118845844
Physical Description: 1 online resource (xxii, 513 pages)

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Summary: 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.- Resumé vydavatel
Item Description: Includes index.
Bibliography: Includes index.
ISBN: 9781118845875
9781118845691
9781322776187
9781119183662
9781118845844
Access: Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty