CSCI4390/6390: Data Mining, Fall 2018
Class Time: TF 1011:50AM
Room: Darrin 337
Instructor Office Hours: Lally 307, Tue & Fri 121pm
TA: Chelsea Sun
TA Office Hours: Mon & Thurs 12pm, AE 118
TA Contact:
Announcements
 20 Sep: Assign2 posted. Due 28th Sep. Before Midnight.
 9 Sep: Assign1 posted. Due 17th Sep. Before Midnight.
 28 Aug: Piazza course page set up for data mining. Please signup for Piazza if you are registered for this course.

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

F: Aug 31
 Data Mining and Analysis: Algebraic and Probabilistic Views
 Chapter 1
 Attach:Lecture1.pdf

T: Sep 4
 Numeric Attributes
 Chapter 2
 Attach:Lecture2.pdf

F: Sep 7
 Eigenvectors/Eigenvalues
 Chapter 7
 Attach:Lecture3.pdf

T: Sep 11
 Dimensionality Reduction
 Chapter 7
 Attach:Lecture4.pdf

F: Sep 14
 Linear Discriminant Analysis
 Chapter 20
 Attach:Lecture5.pdf

T: Sep 18
 High Dimensional Data Analysis
 Chapter 6
 Attach:Lecture6.pdf

F: Sep 21
 Kernel Methods
 Chapter 5
 Attach:Lecture7.pdf

T: Sep 25
 Kernel PCA/LDA; Linear Regression
 See Piazza Resources


F: Sep 28
 Linear Regression II
 See Piazza Resources


T: Oct 2
 Logistic Regression
 See Piazza Resources


F: Oct 5
 EXAM I

T: Oct 9
 NO CLASS (Mon Schedule)

F: Oct 12
 Neural Networks
 See Piazza Resources


T: Oct 16
 Recurrent Neural Networks
 See Piazza Resources


F: Oct 19
 Deep Learning: LSTMs and CNNs
 See Piazza Resources


T: Oct 23
 Regression Evaluation
 See Piazza Resources


F: Oct 26
 Classification: SVMs
 Chapter 21


T: Oct 30
 Classification: Naive Bayes
 Chapter 18


F: Nov 2
 Classification: Decision Trees
 Chapter 19


T: Nov 6
 EXAM II

F: Nov 9
 Classification Evaluation
 Chapter 22


T: Nov 13
 Kmeans/EM Clustering
 Chapter 13


F: Nov 16
 Hierarchical Clustering, Density Clustering
 Chapters 14, 15


T: Nov 20
 Density Clustering, Spectral & Graph Clustering
 Chapters 15,16


F: Nov 23
 NO CLASS (Thanksgiving Break)

T: Nov 27
 Spectral/Graph Clustering
 Chapter 16


F: Nov 30
 Cluster Evaluation
 Chapter 17


T: Dec 4
 Pattern Mining
 Chapter 8


F: Dec 7
 Summary Patterns
 Chapter 9


T: Dec 11
 EXAM III

