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An Introduction to Data Mining Kurt Thearling, Ph.D. www.thearling.com 2 Outline — Overview of data mining — What is data mining? — Predictive models and data scoring — Real-world issues — Gentle discussion of the core algorithms and processes — Commercial data mining software applications — Who are the players?

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What is Data? zCollection of data objects and their attributes Attributes Class zAn attribute is a property or characteristic of an object El lf Tid Home Owner Marital Status Taxable Income Cheat 1 Yes Single 125K No – Examples: eye color of a

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Introduction 1. Discuss whether or not each of the following activities is a data mining task. (a) Dividing the customers of a company according to their gender. No. This is a simple database query. (b) Dividing the customers of a company according to their prof-itability. No. This is an accounting calculation, followed by the applica-tion of a ...

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Li Zheng , Chao Shen , Liang Tang , Tao Li , Steve Luis , Shu-Ching Chen , Vagelis Hristidis, Using data mining techniques to address critical information exchange needs in disaster affected public-private networks, Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining, July 28, 2010, Washington ...

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Lecture Notes for Chapter 2 Introduction to Data Mining

Attribute Type Description Examples Operations Nominal The values of a nominal attribute are just different names, i.e., nominal attributes provide only enough

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Originally, “data mining” or “data dredging” was a derogatory term referring to attempts to extract information that was not supported by the data. Section 1.2 illustrates the sort of errorsone can make by trying to extract what really isn’t in the data.

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It supplements the discussions in the other chapters with a discussion of the statistical concepts (statistical significance, p-values, false discovery rate, permutation testing, etc.) relevant to avoiding spurious results, and then illustrates these concepts in the context of data mining techniques.

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Definition Data mining is theautomatedprocess of discoveringinteresting(non-trivial, pre-viously unknown, insightful and potentially useful) information or

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@inproceedings{Tan2005IntroductionTD, title={Introduction to Data Mining}, author={Pang-Ning Tan and Michael Steinbach and Vipin Kumar}, year={2005} } an introduction to data mining san jose state university introduction to data mining university of florida introduction to data mining exinfm ...

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