Steven F. Ashby Center for Applied Scientific Computing Month ...
© 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.
Data Mining Association Analysis: Basic Concepts and Algorithms From Introduction to Data Mining By Tan, Steinbach, Kumar.
Data Mining Techniques So Far: Cluster analysis K-means Classification Decision Trees J48 (C4.5) Rule-based classification JRIP (RIPPER) Logistic Regression.
Data Mining Association Analysis: Basic Concepts and Algorithms Introduction to Data Mining by Tan, Steinbach, Kumar © Tan,Steinbach, Kumar Introduction.
Review. Topics to review for the final exam Evaluation of classification –predicting performance, confidence intervals –ROC analysis –Precision, recall,
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.
