Real-World Data Mining

Applied Business Analytics and Decision Making

Specificaties
E-book, blz. | Engels
Pearson Education | e druk, 2017
ISBN13: 9780133551112
Rubricering
Pearson Education e druk, 2017 9780133551112
Onderdeel van serie FT Press Analytics
Verwachte levertijd ongeveer 9 werkdagen

Samenvatting

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.

Specificaties

ISBN13:9780133551112
Taal:Engels
Bindwijze:e-book

Inhoudsopgave

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

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