Data Mining Models, Second Edition

David L. Olson

ISBN 10: 1948580497 / ISBN 13: 9781948580496

Published by Business Expert Press, New York, 2018

About this Item

This paperback copy of "Data Mining Models, Second Edition" is in excellent condition. The binding is intact and shows no signs of wear. There is no dust jacket, and the book is free from inscriptions or library markings. The pages are clean and unmarked, ensuring a pleasant reading experience.

Seller Inventory # A15-B7-TNP-JRM-0126

Bibliographic Details

• Title: Data Mining Models, Second Edition
• Publisher: Business Expert Press, New York
• Publication Date: 2018
• Language: English
• ISBN 10: 1948580497
• ISBN 13: 9781948580496
• Binding: Paperback
• Edition: Second Edition.
• Condition: Very Good
• Dust Jacket Condition: unknown (no jacket visible)

About this title

Synopsis

Data mining has become the fastest growing topic of interest in business programs in the past decade. This book is intended to describe the benefits of data mining in business, the process and typical business applications, the workings of basic data mining models, and demonstrate each with widely available free software. The book focuses on demonstrating common business data mining applications. It provides exposure to the data mining process, to include problem identification, data management, and available modeling tools. The book takes the approach of demonstrating typical business data sets with open source software. KNIME is a very easy-to-use tool, and is used as the primary means of demonstration. R is much more powerful and is a commercially viable data mining tool. We also demonstrate WEKA, which is a highly useful academic software, although it is difficult to manipulate test sets and new cases, making it problematic for commercial use.

About the Author

David L. Olson is the James & H.K. Stuart professor in MIS and chancellor's professor at the University of Nebraska. He has published research in over 200 refereed journal articles, primarily on the topic of multiple objective decision-making and information technology. He has authored over 20 books, and associate editor of a number of journals. He has made over 150 presentations at international and national conferences on research topics. He is a member of the Decision Sciences Institute, the Institute for Operations Research and Management Sciences, and the Multiple Criteria Decision Making Society. He was a Lowry Mays endowed professor at Texas A&M University from 1999 to 2001. He was named the Raymond E. Miles Distinguished Scholar award for 2002, and was a James C. and Rhonda Seacrest Fellow from 2005 to 2006. He was named Best Enterprise Information Systems Educator by IFIP in 2006. He is a fellow of the Decision Sciences Institute.