Web and Network Data Science : Modeling Techniques in Predictive Analytics

Miller, Thomas W.

Ft Pr（2014/12発売）

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製本 Hardcover:ハードカバー版／ページ数 355 p.
言語 ENG
商品コード 9780133886443
DDC分類 005

Full Description

Master modern web and network data modelingapplications. In Web and Network Data Science, a top faculty member of Northwestern University's 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 today's 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.

Preface v1 Being Technically Inclined 12 Delivering a Message Online 133 Crawling and Scraping the Web 254 Testing Links, Look, and Feel 435 Watching Competitors 556 Visualizing Networks 697 Understanding Communities 958 Measuring Sentiment 1199 Discovering Common Themes 17110 Making Recommendations 20111 Playing Network Games 22312 What's Next for the Web? 233A Data Science Methods 237A.1 Databases and Data Preparation 240A.2 Classical and Bayesian Statistics 242A.3 Regression and Classification 245A.4 Machine Learning 250A.5 Data Visualization 252A.6 Text Analytics 253B Primary Research Online 261C Case Studies 281C.1 Email or Spam? 281C.2 ToutBay Begins 284C.3 Keyword Games: Dodgers and Angels 288C.4 Enron Email Corpus and Network 291C.5 Wikipedia Votes 292C.6 Quake Talk 294C.7 POTUS Speeches 295C.8 Anonymous Microsoft Web Data 296D Code and Utilities 297E Glossary 313Bibliography 321Index 351