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CSCI-4390/6390: Data Mining, Fall 2017


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


TA: TBA
TA Office Hours:
TA Contact:




Syllabus

Announcements



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 Numeric Attributes & Dimensionality Reduction I Chapter 2 and 7
T: Sep 13 Dimensionality Reduction II Chapter 7
F: Sep 16 Kernels Chapter 5
T: Sep 20 High Dimensional Data Analysis Chapter 6
F: Sep 23 Linear Discriminant Analysis Chapter 20
T: Sep 27 Classification: Bayes Classifier & Categorical Data Chapter 3, 18
F: Sep 30 Bayes Classifier & Decision Trees Chapter 18, 19
T: Oct 4 Decision Trees & SVMs Chapter 19, 21
F: Oct 7 EXAM I
T: Oct 11 NO CLASS (Mon Schedule)
F: Oct 14 SVM Chapter 21
T: Oct 18 Classification Evaluation I Chapter 22
F: Oct 21 Classifier Evaluation II chapter 22
T: Oct 25 Ensemble Classifiers Chapter 22
F: Oct 28 Regression: Linear & Logistic Regression See Piazza Resources
T: Nov 1 Neural Networks See Piazza Resources
F: Nov 4 Clustering: KMeans/EM Clustering Chapter 13
T: Nov 8 EXAM II
F: Nov 11 Hierarchical & Density-based Clustering Chapter 13, 14, 15
T: Nov 15 Density Clustering Chapters 15
F: Nov 18 Spectral & Graph Clustering Chapter 16
T: Nov 22 Cluster Evaluation Chapters 17
F: Nov 25 NO CLASS (Thanksgiving Break)
T: Nov 29 Frequent Pattern Mining: Graph Mining Chapter 11
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 May 10, 2017, at 03:31 PM