Data Mining with Rattle and R: The Art of Excavating Data for Knowledge Discovery (Use R!)

Williams, Graham

ISBN 10: 1441998896 / ISBN 13: 9781441998897

Published by Springer (edition 2011), 2011

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Bibliographic Details

• Title: Data Mining with Rattle and R: The Art of Excavating Data for Knowledge Discovery (Use R!)
• Publisher: Springer (edition 2011)
• Publication Date: 2011
• Language: English
• ISBN 10: 1441998896
• ISBN 13: 9781441998897
• Binding: Paperback
• Edition: 2011.
• Condition: Very Good

About this title

Synopsis

With a focus on the hands-on, end-to-end process for data mining, this book guides the reader through various capabilities of the easy-to-use, free and open source Rattle Data Mining Software built on the sophisticated R Statistical Software.

About the Author

Dr Graham Williams is Senior Director of Analytics with the Australian Taxation Office, and previously Principal Computer Scientist for Data Mining with CSIRO. He is also Visiting Professor and Senior International Scientist with the Shenzhen Institutes of Advanced Analytics of the Chinese Academy of Sciences, Adjunct Professor, Data Mining, Fraud Prevention, Security, University of Canberra, and Adjunct Professor, Australian National University. Graham regularly teaches data mining courses and is author of the freely available, open source data mining system, Rattle. He has been involved in many data mining projects for clients from government and industry over his long career. His research developments included ensemble learning (1980's) and hot spots discovery (1990's). He is actively involved in the international artificial intelligence and data mining research communities, particularly as chair of the Pacific Asia Knowledge Discovery and Data Mining conference series and founder and co-chair of the Australasian Data Mining conference series. Graham has editted a number of books and authored many academic and industry papers and reports. His current focus is on making data mining technology readily accessible, ensuring research, innovation and discovery are repeatable and available, and encouraging the free and open sharing of knowledge.