CSCI4390/6390: Data Mining, Fall 2016
Class Time: TF 1011:50AM
Room: Low 3051
Instructor Office Hours: TF 121PM, Lally 307
TA: Yu Chen
TA Office Hours: Mon 45pm in AE119, and Thurs 45pm in AE 127
TA Contact:
Announcements
 Nov 25: Assign6 has been posted; due date is 5th Dec, just before midnight.
 Nov 9: Assign5 has been posted; due date is 18th Nov, just before midnight.
 Oct 29: Assign4 has been posted; due date is 5th Nov, just before midnight.
 Oct 13: Assign3 has been posted; due date is 21st Oct, just before midnight.
 Sep 19: Assign2 has been posted; due date is 27th Sep, just before midnight.
 Sep 5: Assign1 has been posted; due date is 13th Sep, Tue, just before midnight.
 Aug 31: Piazza invitations were sent out. If you did not get it, sign up on your own by clicking on the link.
 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 signup 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
 lecture1.pdf

F: Sep 2
 Algebraic and Probabilistic Views
 Chapter 1
 lecture2.pdf

T: Sep 6
 Numeric Attributes
 Chapter 2
 lecture3.pdf

F: Sep 9
 Numeric Attributes & Dimensionality Reduction I
 Chapter 2 and 7
 lecture4.pdf

T: Sep 13
 Dimensionality Reduction II
 Chapter 7
 lecture5.pdf

F: Sep 16
 Kernels
 Chapter 5
 lecture6.pdf

T: Sep 20
 High Dimensional Data Analysis
 Chapter 6
 lecture7.pdf

F: Sep 23
 Linear Discriminant Analysis
 Chapter 20
 lecture8.pdf

T: Sep 27
 Classification: Bayes Classifier & Categorical Data
 Chapter 3, 18
 lecture9.pdf

F: Sep 30
 Bayes Classifier & Decision Trees
 Chapter 18, 19
 lecture10.pdf

T: Oct 4
 Decision Trees & SVMs
 Chapter 19, 21
 lecture11.pdf

F: Oct 7
 EXAM I

T: Oct 11
 NO CLASS (Mon Schedule)

F: Oct 14
 SVM
 Chapter 21
 lecture12.pdf

T: Oct 18
 Classification Evaluation I
 Chapter 22
 lecture13.pdf

F: Oct 21
 Classifier Evaluation II
 chapter 22
 lecture14.pdf

T: Oct 25
 Ensemble Classifiers
 Chapter 22
 lecture15.pdf

F: Oct 28
 Regression: Linear & Logistic Regression
 See Piazza Resources
 lecture16.pdf

T: Nov 1
 Neural Networks
 See Piazza Resources
 lecture17.pdf

F: Nov 4
 Clustering: KMeans/EM Clustering
 Chapter 13
 lecture18.pdf

T: Nov 8
 EXAM II

F: Nov 11
 Hierarchical & Densitybased Clustering
 Chapter 13, 14, 15
 lecture19.pdf

T: Nov 15
 Density Clustering
 Chapters 15
 lecture20.pdf

F: Nov 18
 Spectral & Graph Clustering
 Chapter 16
 lecture21.pdf

T: Nov 22
 Cluster Evaluation
 Chapters 17
 lecture22.pdf

F: Nov 25
 NO CLASS (Thanksgiving Break)

T: Nov 29
 Frequent Pattern Mining: Graph Mining
 Chapter 11
 lecture23.pdf

F: Dec 2
 Graph Analysis I
 Chapter 4
 lecture24.pdf, lecture24b.pdf

T: Dec 6
 Graph Analysis II & Wrapup
 Chapter 4
 lecture25.pdf

F: Dec 9
 EXAM III
