|
8:30 – 9:00am |
Check-in and Breakfast |
|
9:00 – 9:15am |
Welcome and Introductions |
|
9:15 – 10:00am |
Technical Session 1 -
Overview;
Data Mining, Machine Learning, Statistics, CRISP-DM, Data Mining
Trends
and Applications |
|
10:00 – 10:45am |
Technical Session 2 - Introduction
to
Data Mining Tools (Weka) |
|
10:45- 11:00am |
Break |
|
11:00- 12:15pm |
Technical Session 3 - Data Preparation;
Preprocessing,
Descriptive Statistics |
|
12:15 – 1:15pm |
Lunch |
|
1:15 – 2:00pm |
Technical Session 3 - Data
Preparation
(cont.); Exploratory Statistics and Visualizations |
|
2:00 – 3:00pm |
Technical Session 4 -
Supervised
Algorithms; Inferring Rudimentary Rules and Decision Trees |
|
3:00 – 3:15pm |
Break |
|
3:15 – 5:00pm |
Technical Session 5 -
Supervised
Algorithms; Numeric Prediction and Association Rules |
Thursday, April 16- DAY 2
|
8:30 – 9:00am |
Check-in and Breakfast |
|
9:00 – 10:00am |
Technical 6 – Model
Evaluation
and Validation |
|
10:00 – 10:45am |
Technical Session 7 –
Introduction
to Data Mining Tools; R Programming |
|
10:45 – 11:00am |
Break |
|
11:00 – 12:15pm |
Technical Session 8 –
Unsupervised
Algorithms;
K-means and EM Clustering |
|
12:15 – 1:00pm |
Lunch |
|
1:00 – 1:300pm |
Machine Room Tour |
|
1:30 – 2:00pm |
Technical Session 8 –
Unsupervised Algorithms
(cont.);
Hierarchical Clustering |
|
2:00 – 3:00pm |
Guest Speaker |
|
3:00 – 3:15pm |
Break |
|
3:15 – 5:00pm |
Technical Session 9 – Going
Forward and Getting
Started;
Case Study, Landscape of Models and Applications, Closing
Discussions/
Q&A |
