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OverviewFull Product DetailsAuthor: Richard J. RoigerPublisher: Taylor & Francis Inc Imprint: Chapman & Hall/CRC Edition: 2nd edition Dimensions: Width: 17.80cm , Height: 3.00cm , Length: 25.40cm Weight: 0.936kg ISBN: 9781498763974ISBN 10: 1498763979 Pages: 530 Publication Date: 01 December 2016 Audience: General/trade , College/higher education , General , Tertiary & Higher Education Format: Paperback Publisher's Status: Active Availability: In Print ![]() This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Table of ContentsReviewsDr. Roiger does an excellent job of describing in step by step detail formulae involved in various data mining algorithms, along with illustrations. In addition, his tutorials in Weka software provide excellent grounding for students in comprehending the underpinnings of Machine Learning as applied to Data Mining. The inclusion of RapidMiner software tutorials and examples in the book is also a definite plus since it is one of the most popular Data Mining software platforms in use today. --Robert Hughes, Golden Gate University, San Francisco, CA, USA """Dr. Roiger does an excellent job of describing in step by step detail formulae involved in various data mining algorithms, along with illustrations. In addition, his tutorials in Weka software provide excellent grounding for students in comprehending the underpinnings of Machine Learning as applied to Data Mining. The inclusion of RapidMiner software tutorials and examples in the book is also a definite plus since it is one of the most popular Data Mining software platforms in use today."" --Robert Hughes, Golden Gate University, San Francisco, CA, USA" Author InformationRichard J. Roiger is a professor emeritus at Minnesota State University, Mankato where he taught and performed research in the Computer & Information Science Department for 27 years. Dr. Roiger’s Ph.D. degree is in Computer & Information Sciences from the University of Minnesota. Dr. Roiger continues to serve as a part-time faculty member teaching courses in data mining, artificial intelligence and research methods. Richard enjoys interacting with his grandchildren, traveling, writing and pursuing his musical talents. Tab Content 6Author Website:Countries AvailableAll regions |