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each outcome from the data, then this is more like the problems considered by data mining. However, in this specific case, solu-tions to this problem were developed by mathematicians a long time ago, and thus, we wouldn’t consider it to be data mining. (f) Predicting the future stock price of a company using historical records. Yes.

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Introduction to Data Mining (2nd Edition) Pang-Ning Tan, Michael Steinbach, Anuj Karpatne, Vipin Kumar Addison Wesley, ISBN-13: 978-0133128901 Instructor Resources (including sample chapters) Table of Content (2nd Edition) Recent Publications: Boyang Liu, Pang-Ning Tan, and Jiayu Zhou.

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@inproceedings{Tan2005IntroductionTD, title={Introduction to Data Mining}, author={Pang-Ning Tan and Michael Steinbach and Vipin Kumar}, year={2005} } CDT606 This course provides the students with the skills necessary to set up, execute, and interpret the output from data mining analysis tools. This ...

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Avoiding False Discoveries: A completely new addition in the second edition is a chapter on how to avoid false discoveries and produce valid results, which is novel among other contemporary textbooks on data mining. It supplements the discussions in the other chapters with a discussion of the statistical concepts (statistical significance, p-values, false discovery rate, permutation testing ...