Graph analysis and visualization: discovering business opportunity in linked data (Record no. 200028)

000 -LEADER
fixed length control field 02580nam a22002055i 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 140911s2015 inu 000 0 eng
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781118845844
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 511.5
Item number B7G7
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Brath, Richard
9 (RLIN) 317467
245 10 - TITLE STATEMENT
Title Graph analysis and visualization: discovering business opportunity in linked data
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc Hoboken
Name of publisher, distributor, etc John Wiley & Sons Inc
Date of publication, distribution, etc 2015
300 ## - PHYSICAL DESCRIPTION
Extent xxii, 513 p.
520 ## - SUMMARY, ETC.
Summary, etc 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.(http://as.wiley.com/WileyCDA/WileyTitle/productCd-1118845846.html)
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Business - Data processing
9 (RLIN) 22464
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Graph theory - Data processing
9 (RLIN) 116953
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Graphic methods - Data processing
9 (RLIN) 69015
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Information visualization
9 (RLIN) 101762
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Jonker, David
9 (RLIN) 317606
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Item type Books
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Permanent location Current location Shelving location Date acquired Source of acquisition Cost, normal purchase price Item location Total Checkouts Total Renewals Full call number Barcode Date last seen Date last borrowed Cost, replacement price Koha item type
          Non-fiction Vikram Sarabhai Library Vikram Sarabhai Library   2015-04-29 Himanshu Book Co., 2633.36 Slot 1356 (0 Floor, East Wing) 3 1 511.5 B7G7 189271 2017-11-16 2017-11-01 3291.71 Books

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