Web and Network Data Science: Modeling Techniques in Predictive Analytics Thomas W. Miller Jr.

ISBN: 9780133887648

Published: December 19th 2014

ebook

384 pages


Description

Web and Network Data Science: Modeling Techniques in Predictive Analytics  by  Thomas W. Miller Jr.

Web and Network Data Science: Modeling Techniques in Predictive Analytics by Thomas W. Miller Jr.
December 19th 2014 | ebook | PDF, EPUB, FB2, DjVu, audiobook, mp3, RTF | 384 pages | ISBN: 9780133887648 | 9.58 Mb

Master modern web and network data modeling: both theory and applications. In Web and Network Data Science, a top faculty member of Northwestern Universitys prestigious analytics program presents the first fully-integrated treatment of both theMore Master modern web and network data modeling: both theory and applications. In Web and Network Data Science, a top faculty member of Northwestern Universitys prestigious analytics program presents the first fully-integrated treatment of both the business and academic elements of web and network modeling for predictive analytics.

Some books in this field focus either entirely on business issues (e.g., Google Analytics and SEO)- others are strictly academic (covering topics such as sociology, complexity theory, ecology, applied physics, and economics). This text gives todays managers and students what they really need: integrated coverage of concepts, principles, and theory in the context of real-world applications.

Building on his pioneering Web Analytics course at Northwestern University, Thomas W. Miller covers usability testing, Web site performance, usage analysis, social media platforms, search engine optimization (SEO), and many other topics. He balances this practical coverage with accessible and up-to-date introductions to both social network analysis and network science, demonstrating how these disciplines can be used to solve real business problems.



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