Appendix B: Further Reading

Appendix B: Further Reading


	?	Abelson, Robert P. Statistics as Principled Argument . Hillsdale, NJ: Lawrence Erlbaum Associates, 1995.

This book is about how to think about interpreting the results of investigations into data. It is statistically based, but the discussions apply equally well to the results of data mining. There is little mathematics in the discussion.

Useful to business managers, analysts, modelers, and miners.


	?	Berry, Michael J. A., and Gordon Linoff. Data Mining Techniques: For ~Marketing, Sales, and Customer Support. New York: John Wiley & Sons, 1997.

This book provides a conceptual overview of various data mining techniques, looking at how each actually works at a conceptual level. This is an almost entirely nonmathematical treatment. The examples discussed are mainly business oriented.


	?	Deming, William E. Statistical Adjustment of Data . New York: Dover Publications, 1984.

Deming, William E. Some Theory of Sampling . New York: Dover Publications, 1984.

These two books were originally written in 1938 and 1950, respectively. William Edwards Deming gave a great deal of thought to the problems of collecting data from, and using data in, the real world. These books are mathematical in their treatment of the problem and are statistically based. Many issues and problems are raised in these works that are not yet amenable to automated solutions.

Useful to advanced modelers and technically oriented miners.


	?	Gleason, A. (translator). Transnational College of LEX. Who is Fourier?: A Mathematical Adventure . Cambridge, MA: Blackwell Science, 1995.

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