Lectures

K-Means: Concepts, Working, Limitations, Schemes to Handle Initial Centroid Problems in K-Means || ||   ||   ||
 * **S.#** || **Date** || **Day** || **Topics** || **Downloads** || **Assignments** || **Comments** ||
 * 1 || 08/09/11 || Thursday || Course Overview, What is Data Mining and its Origin, Typical Data Mining Tasks, Data Mining Applications/Examples || [[file:Data Mining Unit 1.pdf]] ||  ||   ||
 * 2 || 12/09/11 || Monday || Unit # 1 (Cont'd), Overview of Classification, Clustering and Association ||  ||   ||   ||
 * 3 || 15/09/11 || Thursday || Data Normalization, Outlier Detection, Data Mining vs OLAP, Machine Learning and Statistics || [[file:Data Mining Unit 2.pdf]] ||  || [[file:DataMining vs OLAP.pdf]] ||
 * 4 || 19/09/11 || Monday || Classification using Classification/Decision Trees, Measures of Node Impurity: GINI, Entropy and Misclassification Error || [[file:Data Mining Unit 3.pdf]] ||  || [[file:Induction of Decision Tree.pdf]] ||
 * 5 || 22/09/11 || Thursday || Overview of ID3, CART and C4.5, Handling of Multi-state Variables, SplitInfo/GainRatio, Discretization techniques based on Value Reduction, ChiMerge and Gini Index || [[file:Data Mining Unit 4.pdf]] ||  || [[file:ChiMerge Paper.pdf]] ||
 * 6 || 26/09/11 || Monday || Model Evaluation: Accuracy, Weighted Accuracy, Recall and Precision, ROC Curve Computation and Analysis || [[file:Data Mining Unit 5.pdf]] ||  ||   ||
 * 7 || 29/09/11 || Thursday || Weka and KNIME Practice Session - Lab Assignment (Data from UCI Machine Learning Repository) ||  ||   ||   ||
 * 8-9 || 02/10/11 || Sunday || Naive Bayes Classifier, Weka/KNIME Discussion || [[file:Data Mining Unit 6.pdf]] ||  ||   ||
 * 10 || 03/10/11 || Monday || Feature Selection, Mean-Variance based Feature Ranking, Entropy-based Feature Ranking, Feature Selection Options in Weka || [[file:Data Mining Unit 7.pdf]] ||  ||   ||
 * 11 || 06/10/11 || Thursday || Artificial Neuron Networks: History and Motivation, Perceptrons, Multi-layer Feedforward Networks and Backpropagation Algorithms || [[file:Data Mining Unit 8.pdf]] ||  ||   ||
 * 12 || 10/10/11 || Monday || Revision ||  ||   ||   ||
 * || 13/10/11 || Thursday || ** 1st Midterm Week ** ||  ||   ||   ||
 * || 17/10/11 || Monday || ** 1st Midterm Week ** ||  ||   ||   ||
 * || 20/10/11 || Thursday || **Out of Town** ||  ||   ||   ||
 * || 24/10/11 || Monday || **Out of Town** ||  ||   ||   ||
 * 13 || 27/10/11 || Thursday || Case Studies Presentation ||  ||   ||   ||
 * 14 || 31/10/11 || Monday || Lazy Learner (Instance-based Learning), Nearest Neighbor Classifier: Pros and Cons, Case Studies (Cont'd) || [[file:Data Mining Unit 9.pdf]] ||  ||   ||
 * 15 || 03/11/11 || Thursday || Model Evaluation: Holdout, Random Subsampling, K-fold Cross-Validation, Bootstrapping, Ensemble Methods (Bagging and Boosting) || [[file:Data Mining Unit 10.pdf]] ||  ||   ||
 * || 07/11/11 || Monday || **Baqraid Holidays** ||  ||   ||   ||
 * 16 || 10/11/11 || Thursday || Clustering: Basic Concepts and Popular Types, Applications,
 * 17 || 14/11/11 || Monday || Project 1 Presentation ||  ||   ||   ||
 * 18 || 17/11/11 || Thursday || Hierarchical Clustering, Single/Complete/Average Linkages, Validity of Clusters: Internal and External Metrics || [[file:Data Mining Unit 12.pdf]] ||  || [[file:Entropy Clustering.xlsx]] ||
 * 19-20 || 21/11/11 || Sunday || Distance Computation in Interval-Scaled, Binary, Categorical, Ordinal Variables, Fuzzy c-mean, Clustering Options in KNIME || [[file:Data Mining Unit 13.pdf]] ||  ||   ||
 * || 24/11/11 || Thursday || **2nd Midterm Week** ||  ||   ||   ||
 * || 28/11/11 || Monday || **2nd Midterm Week** ||  ||   ||   ||
 * 21 || 1/12/11 || Thursday || Kohonen Self Organizing Map || [[file:Data Mining Unit 14.pdf]] ||  ||   ||
 * || 5/12/11 || Monday || **No Class Due to Ashoora Holiday** ||  ||   ||   ||
 * 22 || 8/12/11 || Thursday || Unit # 14 (Cont'd) Adaptive Resonance Theory, Association Rules, Frequent Itemsets, Support & Confidence, Apriori Algorithm || [[file:Data Mining Unit 15.pdf]] ||  ||   ||
 * 23 || 12/12/11 || Monday || Unit # 15 (Cont'd), Interestingness Measures, Lift/Interest, Handling Categorical and Continuous Data, Min-Apriori, Multi-Level Association Rules ||  ||   ||   ||
 * 24 || 15/12/11 || Thursday || Principal Component Analysis || [[file:Data Mining Unit 16.pdf]] ||  ||   ||
 * 25 || 19/12/11 || Monday || Guest Lecture by Mr. Nauman Sheikh ||  ||   ||   ||
 * 26 || 22/12/11 || Thursday || PCA (Cont'd), Regression Overview, Course Revision || [[file:Data Mining Unit 17.pdf]] ||  ||   ||
 * 27 || 26/12/11 || Monday || **Project 2 Presentations** ||  ||   ||   ||
 * 28 || 29/12/11 || Thursday || **Project 2 Presentations** ||  ||   ||   ||