Tuesday (10:00-11:00AM), Thursday(09:00AM-10:00AM), Friday(08:00AM-09:00AM)
Text Book: Pang-Ning Tan, Michael Steinbach and Vipin Kumar. INtroduction to Data Mining, Pearson (Eighth Impression, 2020)
Many slides and contents are taken from Webpage of the book
August 4, 2020 (Lecture 1): Introduction to Data Mining.
September 22, 2020 (Lecture 2): Data
September 24, 2020 (Lecture 3): Proximity Measures used in Data Mining
September 25, 2020 (Lecture 4): Data Preprocessing
September 29, 2020 (Lecture 5): Data Preprocessing
October 01, 2020 (Lecture 6): Decision Tree Video Lecture
October 06, 2020 (Lecture 7): Decision Tree Lecture Video
October 08, 2020 (Lecture 8): Decesion Tree Lecture Video Lecture Video on CART
October 09, 2020 (Lecture 9): Distance Based Classifier Lecture Video
October 13, 2020 (Lecture 10): K-Nearest Neighbor Classifier Lecture Video
How to find the value of K in K-nearest Neighbor Classifier Lecture Video
October 15, 2020 (Lecture 11): Model Evaluation and Confusion Matrix Lecture Video [Topic starts at 15th Minute]
Confusion Matrix and K-nearest Neighbor Classifier Lecture Video
October 16, 2020 (Lecture 12): Confusion Matrix and ROC Curve
October 20, 2020 (Lecture 13): Bayes Classifier. Lecture Video
October 22, 2020 (Lecture 14): How to plot ROC curve.
October 23, 2020(Lecture 15): No Class.
November 3, 2020 (Lecture 16): Artificial Neural Network I Lecture Video
November 5, 2020 (Lecturer 17): No Class
November 6, 2020 (Lecturer 18): Artificial Neural Network I Lecture Video
November 7, 2020 (Saturday: Compensatory Class of Lecturer 15): Artificial Neural Network II
November 9, 2020 (Lecturer 19): Artificial Neural Network II Lecture Video
November 10, 2020(Compensatory Class of Lecturer 17, 5.30pm-6:30PM): Artificial Neural Network II Lecture Video Lecture Video
November 11, 2020 (Lecturer 20, Compensatory Slot 1): Ensemble of Classifier: Bagging Lecture Video
November 12, 2020 (Lecturer 21): Ensemble of Classifier: Boosting
November 13, 2020 (Lecturer 22): Data Clustering Lecture Video
November 17, 2020 (Lecture 23): Basic Partitional Clustering such as Leaders, K-Means
November 18, 2020 (Lecturer 24):Bi-secting K-means Lecture Video
November 19, 2020 (Lecturer 25): Accelated K-means; Higherarchical Clustering I Lecture Video
November 20, 2020(Lecturer 26): Higherarchical Clustering II Lecture Video
November 24, 2020(Lecturer 27): Density based Clustering : DBSCAN Lecture Video
November 26, 2020(Lecturer 28): Density based Clustering : NBC
November 27, 2020(Lecturer 29): Evaluation Metrics of Clustering Techniques I
December 01, 2020(Lecturer 30): Evaluation Metrics of Clustering Techniques II; Association Rule Mining Lecture Video Lecture Video
December 02, 2020(Lecturer 31): Association Rule and Rule Generation Lecture Video
December 03, 2020(Lecturer 32): Maximal and Closed Itemset Lecture Video
December 04, 2020(Lecturer 33): NO Class.
December 05, 2020 (Compensatory Class of Lecturer 33):Construction of fp-tree and Evaluation Metrics of Association Rules. Lecture Video
December 08, 2020(Lecturer 34): Anomaly/Outlier Detection
December 10, 2020(Lecturer 35): Density Anomaly Detection Techniques (LOF, LDOF, Symmetric Neighborhood based) Lecture Video