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Web and Network Data Science: Modeling Techniques in Predictive Analytics by Thomas W. Miller (Hardcover, 2015)

In Web and Network Data Science, a top faculty member of Northwestern University's prestigious analytics program presents a fully-integrated treatment of both the business and academic elements of web and network modeling for predictive analytics. Most 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 today's managers and students what they really need: an integrated approach that explains concepts, principles, and theory in the context of real-world applications. Building on his popular 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.

Subject Area
Data Analysis
Author
Thomas w. Miller
Publication Name
Web and Network Data Science: Modeling Techniques in Predictive Analytics
Format
Hardcover
Language
English
Subject
Computer Science, Management, Business
Publication Year
2015
Type
Textbook
Number of Pages
384 Pages

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