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: TBA
TA Contact:
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 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


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 & Densitybased 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
