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 |
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| 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 | ||