CSCI4390-6390 Data Mining

This course focuses on fundamental algorithms and core concepts in data mining and machine learning. The emphasis is on leveraging geometric, algebraic and probabilistic viewpoints, as well as algorithmic implementation.

Class Hours: 10AM-11:50AM Mon/Thurs, Ricketts 203

Instructor Office Hours: 12-1PM Mon/Thurs (Lally 209)

TAs (Office Hours): Qitong Wang wangq19@rpi.edu (Tue & Wed 11AM-12PM, AE 118)

Syllabus: CSCI4390-6390 Syllabus

Submitty: https://submitty.cs.rpi.edu/courses/f25/csci4390

Assignments

Assign2: CSCI4390-6390 Assign2 (Due: Sep 22nd, Midnight)

Assign1: CSCI4390-6390 Assign1 (Due: Sep 15th, Midnight)

Class Schedule: Lectures

Tentative course schedule is given below. Lecture notes (in PDF) appear below.

Date Topic Lectures
Aug 28 Data Matrix/Numeric Attributes (Chapter 1, 2) lecture1
Sep 04 Numeric Attributes (Chapter 2) lecture2
Sep 05 (F) Numeric Attributes (Chap 2) & High-dim Data (Chap 6) lecture3
Sep 08 High-dim Data (Chap 6) lecture4
Sep 11 Eigenvectors (Chapter 7) lecture5
Sep 15 PCA (Chapter 7) lecture6
Sep 18 PCA II (Chapter 7)
Sep 22 Pattern Mining I (Chapter 8)
Sep 25 Pattern Mining II (Chapter 9)
Sep 29 EXAM I
Oct 02 Representative-Based Clustering I (Chapter 13)
Oct 06 Representative-Based Clustering I (Chapter 13)
Oct 09 Density-based Clustering (Chapter 15)
Oct 13 NO CLASS (Columbus Day)
Oct 16 Density-based Clustering (Chapter 15)
Oct 20 Spectral Clustering (Chapter 16)
Oct 23 Bayes Classifier, Discriminant Analysis (Chapters 18, 20)
Oct 27 Discriminant Analysis, Linear Regression I (Chapters 20, 23)
Oct 30 Linear Regression II (Chapter 23)
Nov 03 EXAM II
Nov 06 Logistic Regression (Chapter 24)
Nov 10 Neural Networks I (Chapter 25)
Nov 13 Neural Networks II (Chapter 25)
Nov 17 Support Vector Machines I (Chapter 21)
Nov 20 Support Vector Machines II (Chapter 21)
Nov 24 NO CLASS (Thanksgiving)
Nov 27 NO CLASS (Thanksgiving)
Dec 01 Classification Assessment (Chapters 22) I
Dec 04 Classification Assessment (Chapters 22) II
Dec 08 Regression Assessment (Chapter 27)
Dec 11 EXAM III