Introduction to Datawarehouse
Data Cube and OLAP
Tutorial 1 - OLAP Examples
Data Cube Technology
Data Mining - Introduction
Data Mining Functionality
Data Objects and Attributes
Measuring dispersion of data & Graphical Visualization of data
Similarity & Dissimilarity Measures
Data Preprocessing, data cleaning
Data Preprocessing- Data Reduction
Data Transformation and Discretization
Mining Frequent Patterns, Associations & correlations
Apriori Algorithm
FP Growth Approach
Which patterns are interesting
Classification -Decision Tree Induction
Naïve Bayes Classification
Model Selection & evaluation
Clustering -Intro & K-means Algorithm
K-Medoids Algorithm
Hierarchical Clustering
Density & Grid Based Clustering
Outlier Detection-I
Outlier Detection-II
Mining Text data - Intro to Specialised Clustering Techniques
Topic Modeling
Mining Time Series Data
Mining time series data - forecasting & motifs
Mining Graph Data
Mining Graph Data
Mining Graph Data- Frequent Substructure
Revision Class-1
Revision Class-2
Revision Class-3
Revision Class-4
Revision Class-5
Revision Class-6
