Predictive Analytics (häftad)
Format
Häftad (Paperback)
Språk
Engelska
Antal sidor
448
Utgivningsdatum
2021-01-19
Upplaga
2
Förlag
Pearson FT Press
Dimensioner
226 x 150 x 20 mm
Vikt
658 g
Antal komponenter
1
ISBN
9780136738510

Predictive Analytics

Data Mining, Machine Learning and Data Science for Practitioners

Häftad,  Engelska, 2021-01-19
504
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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.
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Övrig information

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.

Innehållsförteckning

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