Real-World Data Mining : Applied Business Analytics and Decision Making (Ft Press Analytics)

Real-World Data Mining : Applied Business Analytics and Decision Making (Ft Press Analytics)

  • Ft Pr(2015/01発売)
  • ただいまウェブストアではご注文を受け付けておりません。 ⇒古書を探す
  • 製本 Hardcover:ハードカバー版/ページ数 273 p.
  • 言語 ENG
  • 商品コード 9780133551075
  • DDC分類 005

Full Description


Use the latest data mining best practices to enable timely, actionable, evidence-based decision making throughout your organization! Real-World Data Mining demystifies current best practices, showing how to use data mining to uncover hidden patterns and correlations, and leverage these to improve all aspects of business performance. Drawing on extensive experience as a researcher, practitioner, and instructor, Dr. Dursun Delen delivers an optimal balance of concepts, techniques and applications. Without compromising either simplicity or clarity, he provides enough technical depth to help readers truly understand how data mining technologies work. Coverage includes: processes, methods, techniques, tools, and metrics; the role and management of data; text and web mining; sentiment analysis; and Big Data integration. Throughout, Delen's conceptual coverage is complemented with application case studies (examples of both successes and failures), as well as simple, hands-on tutorials.Real-World Data Mining will be valuable to professionals on analytics teams; professionals seeking certification in the field; and undergraduate or graduate students in any analytics program: concentrations, certificate-based, or degree-based.

Contents

Foreword viiiChapter 1: Introduction to Analytics 1Chapter 2: Introduction to Data Mining 31Chapter 3: The Data Mining Process 67Chapter 4: Data and Methods in Data Mining 93Chapter 5: Data Mining Algorithms 141Chapter 6: Text Analytics and Sentiment Analysis 183Chapter 7: Big Data Analytics 231Index 265

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