Real-world Data Mining: Applied Business Analytics And Decision Making by Dursun Delen

Real-world Data Mining: Applied Business Analytics And Decision Making

byDursun Delen

Hardcover | December 23, 2014

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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.

About The Author

Dr. Dursun Delen is an internationally known expert in business analytics and data mining. He is often invited to national and international conferences to deliver keynote presentations on topics related to data/text mining, business intelligence, decision support systems, business analytics, and knowledge management. Prior to his appo...
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Details & Specs

Title:Real-world Data Mining: Applied Business Analytics And Decision MakingFormat:HardcoverDimensions:288 pages, 9 × 6.4 × 1.2 inPublished:December 23, 2014Publisher:Pearson EducationLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0133551075

ISBN - 13:9780133551075

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Extra Content

Table of Contents

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