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The top documents tagged [new frequent itemsets]
Steven F. Ashby Center for Applied Scientific Computing Month
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© Tan,Steinbach, Kumar Introduction to Data Mining 4/18/2004 1 Data Mining: Association Analysis This lecture node is modified based on Lecture Notes for
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Data Mining Association Analysis: Basic Concepts and Algorithms From Introduction to Data Mining By Tan, Steinbach, Kumar
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Data Mining Techniques So Far: Cluster analysis K-means Classification Decision Trees J48 (C4.5) Rule-based classification JRIP (RIPPER) Logistic Regression
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Data Mining Association Analysis: Basic Concepts and Algorithms Introduction to Data Mining by Tan, Steinbach, Kumar © Tan,Steinbach, Kumar Introduction
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Review. Topics to review for the final exam Evaluation of classification –predicting performance, confidence intervals –ROC analysis –Precision, recall,
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1. Basic Association Analysis (IDM ch. 6) 1. Review 2. Maximal and Closed Itemsets 3. Rule Generation 4. Kuis 2. Support Vector Machines / SVM (IDM ch
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