A Faculty Development Programme
on Data Mining - FDP 2012
On 16th to 20th January 2012

To provide Teachers Training &
Encourage Young Faculty into Research.
Alumni Meet on Saturday, 28th January, 2012; 6pm onwards
Program Schedule

Two Days Program Schedule

  Time Event Topics
Day 1 8.30 – 10.00 Inauguration and Registration
10.00-10.30 Tea Break
10.30-12.30 Theory Introduction: Machine Learning and Data Mining
12.30-13.30 Lunch Break
13.30-15.30 Hands on  
15:30-15:50 Tea Break
15.50-17.30 Hands on(Continue…) Data cube, Slicing, Dicing, rolling, drilling
       
Day 2 9.00 – 11.00 Theory Association Rule Mining Apriori Algorithm
11.00-11.30 Tea Break
11.30- 13.30 Hands on Association Mining Apriori Algorithm
13.30-14.30 Lunch Break
14.30 –16.00 Theory Association mining –FP Tree algorithm
16.00-17.30
16.00-17.30 Hands on Association tools in WEKA
       
Day 3 9.00 – 11.00 Theory Classification-Decision Tree Learning
11.00-11.30 Tea Break
11.30- 13.30 Hands on Classification tools in WEKA
13.30-14.30 Lunch Break
14.30 –16.00 Theory Naive Bayes classifier
16.00-17.30 Hands on Classification tools in WEKA
       
Day 4 9.00 – 11.00 Theory Clustering (Unsupervised learning) K-mean algorithm
11.00-11.30 Tea Break
11.30- 13.30 Hands on Clustering in WEKA
13.30-14.30 Lunch Break
14.30 –16.00 Theory Hierarchical clustering algorithms
16.00-17.30 Hands on Clustering tool in WEKA
       
Day 5 9.00 – 11.00 Theory Predictive Data Mining-Linear & Nonlinear regression
11.00-11.30 Tea Break
11.00-13.00 Hands on Linear & Nonlinear regression (Excel / Open office/SPSS)
13.00-14.00 Lunch Break
14.00 –15.30 Theory Text Mining , Web mining , Image Mining overview
16.00-17.30 Valedictory function