Advanced Data Mining Techniques by David L Olson

Advanced Data Mining Techniques by David L Olson

The intent of this book is to describe some recent data mining tools that have proven effective in dealing with data sets which often involve unc- tain description or other complexities that cause difficulty for the conv- tional approaches of logistic regression, neural network models, and de- sion trees. Among these traditional algorithms, neural network models often have a relative advantage when data is complex. We will discuss methods with simple examples, review applications, and evaluate relative advantages of several contemporary methods. Book Concept Our intent is to cover the fundamental concepts of data mining, to dem- strate the potential of gathering large sets of data, and analyzing these data sets to gain useful business understanding. We have organized the material into three parts. Part I introduces concepts. Part II contains chapters on a number of different techniques often used in data mining. Part III focuses on business applications of data mining. Not all of these chapters need to be covered, and their sequence could be varied at instructor design. The book will include short vignettes of how specific concepts have been applied in real practice. A series of representative data sets will be generated to demonstrate specific methods and concepts. References to data mining software and sites such as www.kdnuggets.com will be provided. Part I: Introduction Chapter 1 gives an overview of data mining, and provides a description of the data mining process. An overview of useful business applications is provided.

From the reviews:

"Text analysis and data mining have become increasingly important capabilities in today’s information-flooded world, and choosing the right technique makes all the differenceThis book contains some advanced data mining techniques, but also includes an overview of important data mining fundamentals, specifically the CRISP-DM and SEMMA industry standards. … Summing Up: Recommended. Upper-division undergraduates and up." (H. J. Bender, CHOICE, Vol. 45 (11), August, 2008)

Dr. Dursun Delen, PhD, is the current William S. In the Spears School of Business at Oklahoma State University (OSU), he holds the Spears Endowed Chair in Business Administration, the Patterson Family Endowed Chair in Business Analytics, the Director of Research for the Center for Health Systems Innovation, and the Regents Professor of Management Science and Information Systems. In 1997, he earned a doctorate in Industrial Engineering and Management from OSU. Prior to his appointment as an Assistant Professor at OSU in 2001, he worked for five years as a research scientist for Knowledge Based Systems Inc. in College Station, Texas, where he directed a number of decision support, information systems, and advanced analytics-related research projects funded by federal agencies such as the Department of Defense, NASA, and the National Institute of Health. Dr. Delen delivers professional education and consulting services in the areas of analytics and information systems to businesses and government bodies.

He is frequently invited to give invited speeches and keynote addresses at national and international conferences on themes such as data/text mining, business intelligence, decision support systems, business analytics, and knowledge management. He chaired tracks and mini-tracks at different business analytics and information systems conferences and served as the general co-chair for the 4th International Conference on Network Computing and Advanced Information Management in Seoul, South Korea. He has almost 150 peer-reviewed articles to his credit. 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 are just a few of the journals where his work has appeared.

In the broad topics of business analytics, decision support systems, data/text mining, and business intelligence, he recently authored/co-authored 10 books/textbooks. He is on the editorial boards of numerous academic journals and is the editor-in-chief of the Journal of Business Analytics, AI in Business, and International Journal of Experimental Algorithms. He is also a senior editor for Decision Support Systems and Decision Sciences, an associate editor for Journal of Business Research, Decision Analytics, and International Journal of RF Technologies, and a senior editor for Decision Support Systems and Decision Sciences.

SKU	Unavailable
ISBN 13	9783540769163
ISBN 10	3540769161
Title	Advanced Data Mining Techniques
Author	David L Olson
Condition	Unavailable
Binding Type	Paperback
Publisher	Springer
Year published	2008-01-21
Number of pages	180
Cover note	Book picture is for illustrative purposes only, actual binding, cover or edition may vary.