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Date
Day
Topics
Download
Comments
1
04/09/12
Tuesday
Course Overview, What is Data Mining and its Origin, Typical Data Mining Tasks, Data Mining Applications/Examples


2
07/09/12
Friday
Data Mining vs. OLAP and Statistics, Data Preparation, Normalization, Outlier Detection

Study Data Mining vs. Statistics and Machine Learning vs. Statistics

11/09/12
Tuesday
Class cancelled due to rain


3
14/09/12
Friday
Unit # 2 (Cont'd), Feature Reduction/Ranking using Mean-Variance Method, Sampling Size, Introduction to Classification/Decision Trees, Model Interpretation, Measures of Node Impurity



18/09/12
Tuesday
Class cancelled due to law & order situation and the resulting traffic jam



21/09/12
Friday
National Holiday Announced - Youm-e-Ishq Rasool (pbuh&hf)


4-5
25/09/12
Tuesday
Computation of GINI Index, Entropy and Misclassification Error, Induction of Classification Trees, Handling of Multi-state and Continuous Data, Discretization using Value Reduction



28/09/12
Friday
No Class - Traveling


6-7
2/10/12
Tuesday
ChiMerge Discretization, Bayes Theorem, Naive Bayes Classifier, Model Evaluation, Accuracy, Weighted Accuracy, Recall and Precision, Weka Demo


8-9
5/10/12
Friday
Receiver Operating Characteristics (ROC Curve), Lift and Gain Charts, KNIME Demo, Lab Session: Weka and KNIME

Assignment # 1 Posted (Due Date: October 23, 2012)

9/10/12
Tuesday
Midterm 1 Week



12/10/12
Friday
Midterm 1 Week


10
16/10/12
Tuesday
Entropy based Feature Selection, Discretization Options in Weka


11
19/10/12
Friday
Artificial Neural Networks, Motivation, History, Multi-layer Feedforward Network, Backpropagation Algorithm


12-13
23/10/12
Tuesday

Case Studies Presentations


26/10/12
Friday
Baqraid Holiday


14
30/10/12
Tuesday
Lazy Learner vs. Eager Learner, k-Nearest Neighbor: Pros and Cons


15
2/11/12
Friday
Model Evaluation, Sampling with Replacement (Bootsrapping), Ensemble Methods (Bagging and Boosting)



6/11/12
Tuesday
No Class




Friday
No Class - Iqbal Day


16
13/11/12
Tuesday
Clustering: Basic Concepts and Popular Types, Applications,
K-Means: Concepts, Working, Limitations, Schemes to Handle Initial Centroid Problems in K-Means


17
16/11/12
Friday
Hierarchical Clustering: Simple/Complete/Average Linkages, Validity of Clusters: External and Internal Metrics


18
20/11/12
Tuesday

Project 1 Presentations


23/11/12
Friday
No Class - Ashura


19-20
1/12/12
Sunday
Distance Computation for Mixed Type Variables: Interval-Scaled, Symmetric and Asymmetric Binary, Categorical and Ordinal, Fuzzy c-Means, Kohonen Maps, KNIME Demo (Clustering)


21
4/12/12
Tuesday
Clustering using Adaptive Resonance Theory (ART1)


22
7/12/12
Friday
Association Rule Mining, Apriori Algorithm, Frequent Itemsets and Rules Generation, Support, Confidence, Interest and Lift


23
11/12/12
Tuesday
Handling of Continuous and Categorical Data, min-Apriori, Multi-level Association Rules


24
14/12/12
Friday

Guest Lecture by Dr. Naeem-uz-Zafar

25
18/12/12
Tuesday
Eigenvalues and Eigenvectors, Principal Component Analysis, R and KNIME implementation of PCA


26
21/12/12
Friday
Text Mining, Data Mining Applications and Course Recap



25/12/12
Tuesday
Quaid-e-Azam Day



28/12/12
Friday
Bhitai Day


27-28
1/1/13
Tuesday

Project 2 Presentations