| Week | Date | Topic | Posted Materials | Presentation / Project Deliverables |
|---|---|---|---|---|
| 1 | Aug. 26 | Course overview and introduction to data mining | Introductory slides, project description, sample datasets, projects | |
| Aug. 28 | Inputs to data mining | Slides, Data clearning and preprocessing by Nguyen Hung Son, notes | ||
| Aug. 30 | Outputs of data mining | Slides, notes | ||
| 2 | Sept. 2 | Labor Day - No Class | ||
| Sept. 4 | Evaluation and rudimentary rules - OR and 1R | Slides, evaluation notes, rudimentary rules notes | ||
| Sept. 6 | Case studies presentations | Case studies paper & presentation | ||
| 3 | Sept. 9 | Bayes Theorem | Slides, notes | |
| Sept. 11 | Naive Bayes Statistical Algorithm | Notes, exercise, answers | ||
| Sept. 13 | Data sets presentations | Data set paper & presentation | ||
| 4 | Sept. 16 | Recursive algotithms - trees | Slides, notes, exercise, answers | |
| Sept. 18 | Entropy, gain ratio | Notes | ||
| Sept. 20 | Advisory Board Meeting - No Class | |||
| 5 | Sept. 23 |
Project: Topic exploration Covering algorithms |
Slides, notes, exercise, answers | Topic exploration, homework 1, data set arff format in arff format, answers |
| Sept. 25 | Association rules | Slides, notes, exercise, answers, support, confidence and lift measurements | ||
| Sept. 27 | Linear models | Slides, notes | ||
| 6 | Sept. 30 |
Project: Area and major question |
Area and major question, homework 2, answers | |
| Oct. 2 | Perceptron | Slides, notes, exercise, answers | ||
| Oct. 4 | Instance based reasoning | Slides, notes | ||
| 7 | Oct. 7 | Clustering | Slides, notes | Homework 3, answers, Online Retail Dataset in Excel, Python slides |
| Oct. 9 | Exam 1 | Review, 2018 exam, answers, exam, answers | ||
| Oct. 11 | Special learning data mining presentations | Special learning paper & presentation | ||
| 8 | Oct. 14 | Ethics | Slides, notes, Code of Behavior Data Science Association | |
| Oct. 16 | Data transformation | Slides, notes | ||
| Oct. 18 | Competition Workshop #1 | Competition Workshop | ||
| 9 | Oct. 21 | Project: dataset(s)loaded into a tool and analyzed Data cleaning | Dataset(s) loaded into a tool and analyzed, homework 4, answers | |
| Oct. 23 | More project presentations | |||
| Oct. 25 | Competion Workshop #2 | Competition Workshop | ||
| 10 | Oct. 28 | Association rules (see earlier) | ||
| Oct. 30 | Clustering (see earlier) | |||
| Nov. 1 | Exam 2 | Review, 2018 exam, answers, exam, answers, essay questions | ||
| 11 | Nov. 4 | Data transformation (see earlier) | ||
| Nov. 6 | Evaluation - Holdout and Confidence Levels | Slides, notes | ||
| Nov. 8 |
Project: |
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| 12 | Nov. 11 | Veteran's - No Class | ||
| Nov. 13 | Evaluation - counting the costs, lift charts | Slides, notes, exercises, answers | ||
| Nov. 15 | Competion Workshop #3 | Competition Workshop | ||
| 13 | Nov. 18 | Ensemble learning - bagging and boosting | Slides, notes, A Primer to Ensemble Learning - Bagging and Boosting by Rohit Garg (Feb. 19, 2018) https://www.analyticsindiamag.com/primer-ensemble-learning-bagging-boosting/ | |
| Nov. 20 | Top learning algorithms | Slides, notes | ||
| Nov. 22 | Project: draft report presentations | Draft report and presentation | ||
| 14 | Nov. 25 | Overview of student projects | Overview, Excel version | |
| Nov. 27 | Thanksgiving - No Class | |||
| Nov. 29 | Thanksgiving - No Class | |||
| 15 | Dec. 2 | Presentation Planning | ||
| Dec. 4, 3-5pm in MUS 205 | Project: final report and presentations | Final report and presentation | Final report and presentation | |
| Dec. 6 | Course reflection | Reflection | ||
| Finals | Dec. 9-13 | No final in this class |