CSCI4390/6390: Data Mining, Fall 2017
Class Time: TF 1011:50AM
Room: TBA
Instructor Office Hours: TF 121PM, Lally 307
TA: TBA
TA Office Hours:
TA Contact:
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 & Densitybased 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
