Real-World Data Mining
Applied Business Analytics and Decision Making
1st Edition
Published on 26. January 2017
288 pages
978-0-13-355111-2 (ISBN)
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.
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.
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More details
Series
Edition
1. Auflage
Language
English
Place of publication
NJ
United States
Publishing group
Pearson Education (US)
Target group
College/higher education
File size
6,14 MB
ISBN-13
978-0-13-355111-2 (9780133551112)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Book
01/2015
Pearson FT Press
€73.64
Article exhausted; check for reprint
Person
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 appointment as professor at Oklahoma State University in 2001, Dr. Delen worked for industry for more than 10 years, developing and delivering business analytics solutions to companies. Most recently he worked for a privately owned research and consulting company, Knowledge Based Systems, Inc., in College Station, Texas, as a research scientist. During his five years there, he led a number of projects related to decision support, information systems, and advanced analytics that were funded by federal agencies, including the DoD, NASA, NIST, and the DOE. Today, in addition to his academic endeavors, Dr. Delen provides consulting services to businesses in assessing their information systems needs and developing state-of-the-art business analytics capabilities.
Dr. Delen holds William S. Spears and Neal Patterson Endowed Chairs in Business Analytics, and he is Director of Research for the Center for Health Systems Innovation and Professor of Management Science and Information Systems in the Spears School of Business at Oklahoma State University. His research has appeared in major journals, including Decision Sciences, Decision Support Systems, Communications of the ACM, Computers and Operations Research, Computers in Industry, Journal of Production Operations Management, Artificial Intelligence in Medicine, and Expert Systems with Applications, among others. He has recently published six books: Advanced Data Mining Techniques (Springer, 2008), Decision Support and Business Intelligence Systems (Prentice Hall, 2010), Business Intelligence: A Managerial Approach (Prentice Hall, 2010), Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications (Elsevier, 2012), Business Intelligence: A Managerial Perspective on Analytics, 3rd edition (Prentice Hall, 2013), and Business Intelligence and Analytics: Systems for Decision Support, 10th edition (Prentice Hall, 2014). He served as the general co-chair for the fourth International Conference on Network Computing and Advanced Information Management, and he regularly chairs tracks and mini-tracks at various information systems conferences. He also serves as associate editor-in-chief, senior editor, associate editor, and editorial board member on a dozen academic and technical journals.
Dr. Delen holds William S. Spears and Neal Patterson Endowed Chairs in Business Analytics, and he is Director of Research for the Center for Health Systems Innovation and Professor of Management Science and Information Systems in the Spears School of Business at Oklahoma State University. His research has appeared in major journals, including Decision Sciences, Decision Support Systems, Communications of the ACM, Computers and Operations Research, Computers in Industry, Journal of Production Operations Management, Artificial Intelligence in Medicine, and Expert Systems with Applications, among others. He has recently published six books: Advanced Data Mining Techniques (Springer, 2008), Decision Support and Business Intelligence Systems (Prentice Hall, 2010), Business Intelligence: A Managerial Approach (Prentice Hall, 2010), Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications (Elsevier, 2012), Business Intelligence: A Managerial Perspective on Analytics, 3rd edition (Prentice Hall, 2013), and Business Intelligence and Analytics: Systems for Decision Support, 10th edition (Prentice Hall, 2014). He served as the general co-chair for the fourth International Conference on Network Computing and Advanced Information Management, and he regularly chairs tracks and mini-tracks at various information systems conferences. He also serves as associate editor-in-chief, senior editor, associate editor, and editorial board member on a dozen academic and technical journals.
Content
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
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
