lectures

Hierarchical Clustering: Simple/Complete/Average Linkages, Validity of Clusters: External and Internal Metrics || ||   ||
 * ** S.# ** || ** Date ** || ** Day ** || ** Topic ** || ** Download ** || ** Comments ** ||
 * 1 || 3/9/2013 || Tuesday || Course Overview, What is Data Mining and its Origin, Typical Data Mining Tasks, Data Mining Applications/Examples || [[file:Data Mining Unit 1.pdf]] ||  ||
 * 2 || 5/9/2013 || Thursday || Data Mining vs. OLAP and Statistics, Data Preparation, Normalization, Outlier Detection || [[file:Data Mining Unit 2.pdf]] ||  ||
 * 3 || 10/9/2013 || Tuesday || Unit # 2 (Cont'd), Feature Reduction/Ranking using Mean-Variance Method, Sampling Size, Introduction to Classification/Decision Trees, Model Interpretation, Measures of Node Impurity, Computation of GINI Index, || [[file:Data Mining Unit 3.pdf]] ||  ||
 * 4 || 17/9/2013 || Tuesday || Computation of Entropy and Misclassification Error, Induction of Classification Trees, Handling of Continuous Data, ChiMerge Discretization || [[file:Data Mining Unit 4.pdf]] ||  ||
 * 5 || 19/9/2013 || Thursday || Handling of Multi-state Data, Discretization using Value Reduction || [[file:Data Mining Unit 5.pdf]] ||  ||
 * 6 || 24/9/2013 || Tuesday || Model Evaluation, Accuracy, Weighted Accuracy, Recall and Precision, Weka Demo, Receiver Operating Characteristics (ROC Curve), Lift and Gain Charts, || [[file:Data Mining Unit 6.pdf]] ||  ||
 * 7 || 26/9/2013 || Thursday || KNIME Demo, Lab Session: Weka and KNIME ||  ||   ||
 * 8 || 1/10/2013 || Tuesday || Bayes Theorem, Naive Bayes Classifier || [[file:Data Mining Unit 7.pdf]] ||  ||
 * 9 || 3/10/2013 || Thursday || Entropy-based Feature Selection, Revision before Midterm 1 || [[file:Data Mining Unit 8.pdf]] ||  ||
 * 10 || 22/10/2013 || Tuesday || Artificial Neural Networks, Motivation, History, Multi-layer Feedforward Network, Backpropagation Algorithm || [[file:Data Mining Unit 9.pdf]] ||  ||
 * 11 || 24/10/2013 || Thursday || Lazy Learner vs. Eager Learner, k-Nearest Neighbor: Pros and Cons || [[file:Data Mining Unit 10.pdf]] ||  ||
 * 12 || 29/10/2013 || Tuesday || Model Evaluation (Holdout, k-Cross Validation), Sampling with Replacement (Bootsrapping), Ensemble Methods (Bagging and Boosting), Stacking || [[file:Data Mining Unit 11.pdf]] ||  ||
 * 13 || 31/10/2013 || Thursday || Presentations: Homework 1 ||  ||   ||
 * 14 || 5/11/2013 || Tuesday || Presentations: Homework 1 ||  ||   ||
 * 15-16 || 17/11/2013 || Sunday || Clustering: Basic Concepts and Popular Types, Applications, K-Means: Concepts, Working, Limitations, Schemes to Handle Initial Centroid Problems in K-Means,
 * 17 || 19/11/2013 || Tuesday || Distance Computation for Mixed Type Variables: Interval-Scaled, Symmetric and Asymmetric Binary, Categorical and Ordinal, Fuzzy c-Means || [[file:Data Mining Unit 13.pdf]] ||  ||
 * 18 || 21/11/2013 || Thursday || Project 1 Presentation ||  ||   ||
 * 19 || 3/12/2013 || Tuesday || Kohonen Maps, Clustering using Adaptive Resonance Theory (ART), KNIME Demo (Clustering) || [[file:Data Mining Unit 14.pdf]] ||  ||
 * 20 || 5/12/2013 || Thursday || Association Rule Mining, Apriori Algorithm, Frequent Itemsets and Rules Generation, Support, Confidence, Interest and Lift || [[file:Data Mining Unit 15.pdf]] ||  ||
 * 21 || 10/12/2013 || Tuesday || KNIME Demo, Handling of Continuous and Categorical Data, min-Apriori, Multi-level Association Rules, Discussion on Case Studies (from Implementing Analytics, Chapter 3) || [[file:Data Mining Unit 16.pdf]] ||  ||
 * 22 || 12/12/2013 || Thursday || Text Mining, KNIME Demo || [[file:Data Mining Unit 17.pdf]] ||  ||
 * 23-24 || 15/12/2013 || Sunday || Covariance Matrix, Eigenvalues and Eigenvectors, Principal Component Analysis, R and KNIME implementation of PCA, Guest Lecture by Mr. Nauman Sheikh || [[file:Data Mining Unit 18.pdf]] ||  ||
 * 25 || 19/12/2013 || Thursday || Unit # 18 (Cont'd), Introduction to R Programming ||  ||   ||
 * 26 || 26/12/2013 || Thursday || Overview of Big Data || [[file:Data Mining Unit 19.pdf]] ||  ||
 * 27 || 31/12/2013 ||  || Project 2 Presentations ||   ||   ||
 * 28 || 2/1/2014 ||  || Project 2 Presentations ||   ||   ||