Course in Business Intelligence Tools and Techniques I

At IIM-C we firmly believe that information is power. In the years to come the need for increased sharing of information will govern the changes in organizational structure. A basic understanding of information systems is thus mandatory. We endeavor to ensure that you drive the e-commerce revolution. These courses not only equip you with software tools but also impart an understanding of the hardware which will help you set design your own database. It's time you started your own dotcom at IIMC.
Course Objectives

Course Content

1. MIS: Basic Ideas
2. Database preliminaries
3. Data Warehouse: Data Warehousing Process: Data Extraction, Cleaning and Transforming, Data-warehousing and OLAP, Data Cube, Multi-Dimensional Data, Data Mart, Meta Data, Design of Data-warehouse and Business Analysis Framework
4. Data warehouse to Data mining
5. Association Rule Mining: Frequent Pattern Mining, Frequent pattern analysis, Apriori Algorithm, FP Tree, FP Growth Algorithm
6. Classification vs. Prediction: Classification methods - Decision Tree, Bayesian, Rule Based, kNN, Soft-computing techniques (ANN - Perceptron and Backprop, Fuzzy, GA), Regression
7. Cluster Analysis: Similarity metrices, Clustering Algorithms: k-means, k-medoid and PAM, Hierarchical, Density based.
8. Stream Data Mining
9. Text Mining

Cases:

1. Diamonds in the Data Mine
2. Continental Airlines Flies High with Real Time Business Intelligence
3. Distractions and Motor Vehicle Accidents: Data Mining Application on Fatality Analysis Reporting System (FARS) Data Files

Evaluation:

Quizzes, Assignements and Presentations: 30%
End-Term: 40%
Group Project: 30%