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9780136738510

Predictive Analytics Data Mining, Machine Learning and Data Science for Practitioners

by
  • ISBN13:

    9780136738510

  • ISBN10:

    0136738516

  • Edition: 2nd
  • Format: Paperback
  • Copyright: 2020-10-30
  • Publisher: Pearson FT Press

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Supplemental Materials

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Summary

Using predictive analytics techniques, decision-makers can uncover hidden patterns and correlations in their data, and leverage this insight to improve a wide range of business decisions. In Predictive Analytics: Data Mining, Machine Learning and Data Science for Practitioners , Dr. Dursun Delen illuminates state-of-the-art best practices for predictive analytics for both business professionals and students. Delen’s holistic approach covers all this, and more:
  • Data mining processes, methods, and techniques
  • The role and management of data
  • Predictive analytics tools and metrics
  • Techniques for text and web mining, and for sentiment analysis
  • Integration with cutting-edge Big Data approaches
Throughout, Delen promotes understanding by presenting numerous conceptual illustrations, motivational success stories, failed projects that teach important lessons, and simple, hands-on tutorials that set this guide apart from competitors.

Author Biography

Dr. Dursun Delen holds the William S. Spears Endowed Chair in Business Administration, Patterson Family Endowed Chair in Business Analytics, Director of Research for the Center for Health Systems Innovation, and Regents Professor of Management Science and Information Systems in the Spears School of Business at Oklahoma State University (OSU). As research scientist at Knowledge Based Systems Inc., he led advanced analytics, decision support and information systems research projects funded by DoD, NASA, NIST and DOE. His books include Real World Data Mining: Applied Business Analytics and Decision Making and Advanced Data Mining Techniques. Dr. Delen is editor-in-chief for the Journal of Business Analytics, AI in Business, and International Journal of Experimental Algorithms; senior editor for Decision Support Systems and Decision Sciences, and associate editor for Journal of Business Research, Decision Analytics, and International Journal of RF Technologies. He co-chaired the 4th International Conference on Network Computing and Advanced Information Management.

Table of Contents

Previous Edition's 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

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