Schedule for CSCE 41403, Section 1: Data Mining
(This will be changed frequently. Please check this page before class every week.)
| Date | Topics Covered | Reading Assignment(before class) | Handout |
| Aug 20 | Introduction to data mining | Chapter 1
A tour of machine learning algorithms
|
DS overview |
| Aug 22 | |||
| Aug 27 | Data mining programming | Machine learning in Python
|
|
| Aug 29 (no class) | Practice project implementation | ||
| Sept 3 | Classification | Chapter 8 (skip 8.4) | ch8
entropy (optional)
|
| Sept 5 | |||
| Sept 10 | |||
| Sept 12 | Logistic regression | Logistic regression | Logistic regression
|
| Sept 17 | |||
| Sept 19 | Introduction to data mining software | Survey on open data mining systems (optional)
Review of data mining packages (optional)
|
Data mining software poll
|
| Sept 24 | Mining frequent patterns, associations and correlations | Chapter 6 (skip 6.2.3-6.2.6) | ch6
(solution)
|
| Sept 26 | |||
| Oct 1 | Cluster analysis | Chapter 10 | kNN
|
| Oct 3 | |||
| Oct 8 | Classification: Advanced methods | Chapter 9 | ch9
(solution)
|
| Oct 10 (no lecture) | Practice Project Implementation | ||
| Oct 15 | Fall break | ||
| Oct 17 | SVM | SVM-reading | SVM (not required for midterm) |
| Oct 22 | Midterm | Midterm (solution) | |
| Oct 24 | Causal modeling and inference | Judea Pearl’s tutorials
|
Dr. Lu Zhang’s guest lecture slides |
| Oct 29 | Graph Mining | Link analysis |
|
| Oct 31 | |||
| Nov 5 | |||
| Nov 7 | Dimension Reduction | Chapter 3 | ch3
PCA (optional)
|
| Nov 12 | |||
| Nov 14 | Project presentation | 7 minute (including 1-minute Q/A) for each presentation | |
| Nov 19 | Project presentation | 7 minute (including 1-minute Q/A) for each presentation | |
| Nov 21 | Project presentation | 7 minute (including 1-minute Q/A) for each presentation | |
| Nov 26 | Privacy preserving data mining | Differential Privacy | Privacy preserving data mining |
| Dec 3 | Big Data Analytics | MapReduce | MapReduce
(optional) |
| Dec 5 | Deep learning models | Tutorial 1 and 2
|
(optional) DL Advanced (not required)
|
| Dec 12 (10:15am-12:15pm) | Final exam |