final-review

final-review - Data Mining CS57300 Purdue University...

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Data Mining CS57300 Purdue University December 9, 2010
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Final review
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Topics • Elements of data mining algorithms • Data preparation and exploration • Statistical foundations • Predictive modeling • Descriptive modeling • Pattern mining • Anomaly detection • Data mining in practice
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Elements of data mining
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adapted from: U. Fayyad, et al. (1995), “From Knowledge Discovery to Data Mining: An Overview,” Advances in Knowledge Discovery and Data Mining, U. Fayyad et al. (Eds.), AAAI/MIT Press Data Target Data Selection Knowledge Knowledge Preprocessed Data Patterns Data Mining Interpretation/ Evaluation Preprocessing
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Elements of data mining • Task specifcation • Data representation • Knowledge representation • Defnes a set oF possible models or patterns • Learning technique • Search: Method For generating possible models/patterns and optimizing their score • Scoring: Associates a numerical score with each possible model/pattern • InFerence and/or interpretation
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Basics
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Statistics • Bayesian vs. Frequentist • Random variables and common distributions • Expectation, variance, independence, conditional independence • Populations and samples • Properties of estimators (bias and variance) • Parameter estimation: suf±ciency, MLE and MAP • Parameter estimation vs. structure learning
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This note was uploaded on 03/13/2012 for the course CS 573 taught by Professor Staff during the Fall '08 term at Purdue.

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final-review - Data Mining CS57300 Purdue University...

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