The following is a preliminary schedule for CS 5973 Knowledge Discovery and Data Mining. This schedule will be updated as the semester progresses. Also, although it is not listed on each day, there will be project discussions every class period.
Date | Topic | Assigned Reading | Assigned | Due |
Jan 16 (Week 1: Introduction) | No class, please read Barn-Raising paper |
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Jan 18 | What is data mining? Seminar style classes, project discussions | Barn-Raising paper | ||
Jan 23 (Week 2: Fundamentals) | Introduction | Chapter 1 | Summary 1 | |
Jan 25 | Measurement and Data | Chapter 2 | Summary 2 | |
Jan 30 (Week 3: Fundamentals) | ||||
Feb 1 | Visualizing and Exploring Data | Chapter 3 | Summary 3 | |
Feb 6 (Week 4: Fundamentals) | ||||
Feb 8 | Data Analysis and Uncertainity | Chapter 4 | Summary 4 | |
Feb 13 (Week 5: Fundamentals) | HW 1 | |||
Feb 15 | A Systematic Overview of Data Mining Algorithms | Chapter 5 | Summary 5, Project status 2 | |
Feb 20 (Week 6: Building the toolbox) | Score Functions for Data Mining Algorithms | Chapter 7 | Summary 6 | |
Feb 22 | Search and Optimization Methods | Chapter 8 | Summary 7, HW 1 | |
Feb 27 (Week 7: Building the toolbox) | Status report 3 | |||
Mar 1 | Descriptive Modeling | Chapter 9 | Summary 8 | |
Mar 6 (Week 8: Building the toolbox) | Status report 4 | |||
Mar 8 | Predictive Modeling | Chapter 10 | Summary 9 | |
Mar 13 (Week 9: Building the toolbox) | Status report 5 | |||
Mar 15 | Finding Patterns and Rules | Chapter 13 | Summary 10 | |
Mar 17-25 | Spring Break! |
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Mar 27 (Week 10: Applications) | Getting 0.91 using SVD | Simon's writeup | HW 2 | Summary 11 |
Mar 29 | Learning from other netflix competitors | Netflix forum analysis (see Jason's email) | ||
Apr 3 (Week 11: Applications) | Semi-Supervised Time Series Classification | Paper | Summary 12 | |
Apr 5 | Rule Interestingness Analysis Using OLAP Operations | Paper | HW 2 | |
Apr 10 (Week 12: Applications) | What the prize administrators think we should do and discords | Hinton paper AND Keogh paper | Summary 13 | |
Apr 12 | Dynamic Time Warping | Paper | ||
Apr 17 (Week 13: Applications) | Dynamic time warping II | Paper | Summary 14 | |
Apr 19 | SVDs for rating systems | Paper | ||
Apr 24 (Week 14: Applications) | Collaborative Filtering via Gaussian Probabilistic Latent Semantic Analysis | Paper | Lit review, Summary 15 | |
Apr 26 | Support Vector Machines | Paper (first 3 sections) | ||
May 1 (Week 15: Applications) | Project wrapup | |||
May 3 (Course wrapup) | Project wrapup | |||
May 7 | Final exam 4:30-6:30 |