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Making Sense of Data: A Practical Guide to Exploratory Data Analysis and Data Mining
book

Making Sense of Data: A Practical Guide to Exploratory Data Analysis and Data Mining

by Glenn J. Myatt
November 2006
Beginner to intermediate
292 pages
7h 26m
English
Wiley-Interscience
Content preview from Making Sense of Data: A Practical Guide to Exploratory Data Analysis and Data Mining

Bibliography

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BARRENTINE, L. B., An Introduction to Design of Experiments: A Simplified Approach ASQ Quality Press, Milwaukee, 1999

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BERRY, M. W., Survey of Text Mining: Clustering, Classification, and Retrieval Springer-Verlag, New York, 2003

BERRY, M. J. A., and G. S. LINDOFF, Data Mining Techniques for Marketing, Sales and Customer Support Second Editio, John Wiley & Sons, 2004

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CRISTIANINI, N., and J. SHAWE-TAYLOR, An Introduction to Support Vector Machines and Other Kernel-Based Learning Method, Cambridge University Press, 2000

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EVERITT, B. S., S. LANDAU, and M. LEESE, Cluster Analysis Fourth Edition Arnold, London, 2001

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Publisher Resources

ISBN: 9780470074718Purchase book