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CSCI-4390/6390: Data Mining, Fall 2016


Class Time: TF 10-11:50AM
Room: Low 3051
Instructor Office Hours: TF 12-1PM, Lally 307


TA: Yu Chen
TA Office Hours: TBA
TA Contact:




Syllabus

Announcements

  • Aug 26: Course website is up, with the syllabus and tentative calendar. We will use the Piazza site for discussions and Q&A; an invitation to sign-up on Piazza will be sent later.



Calendar & Lecture Notes

A tentative sequence of topics to be covered in the classes; changes are likely as the course progresses.

Day: Date Topic Readings Lectures
T: Aug 30 Data Mining and Analysis: Intro Chapter 1
F: Sep 2 Algebraic and Probabilistic Views Chapter 1
T: Sep 6 Numeric Attributes Chapter 2
F: Sep 9 Categorical attributes Chapter 3
T: Sep 13 High dimensional Data Chapter 6
F: Sep 16 Dimensionality Reduction I Chapter 7
T: Sep 20 Kernels & Dimensionality Reduction II Chapters 5, 7
F: Sep 23 Classification: Bayes Classifier Chapter 18
T: Sep 27 Decision Trees Chapter 19
F: Sep 30 Linear Discriminant Analysis Chapter 20
T: Oct 4 SVMs Chapter 21
F: Oct 7 EXAM I
T: Oct 11 NO CLASS (Mon Schedule)
F: Oct 14 Classification Evaluation I Chapter 22
T: Oct 18 Regression: Linear Regression Chapter 22
F: Oct 21 Logistic Regression
T: Oct 25 Neural Networks I
F: Oct 28 Neural Networks II
T: Nov 1 Clustering: KMeans/EM Clustering Chapter 13
F: Nov 4 Hierarchical & Density-based Clustering Chapter 14, 15
T: Nov 8 EXAM II
F: Nov 11 Spectral & Graph Clustering Chapter 16
T: Nov 15 Cluster Evaluation Chapter 17
F: Nov 18 Frequent Pattern Mining: Itemset Mining Chapters 8,9
T: Nov 22 Graph Mining Chapter 11
F: Nov 25 NO CLASS (Thanksgiving Break)
T: Nov 29 Pattern Assessment Chapter 12
F: Dec 2 Graph Analysis I Chapter 4
T: Dec 6 Graph Analysis II & Wrapup Chapter 4
F: Dec 9 EXAM III
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Page last modified on August 27, 2016, at 03:13 PM