From Mohammed J. Zaki

Dmcourse: Main

CSCI-4390/6390: Data Mining, Fall 2017


Class Time: TF 10-11:50AM
Room: Darrin 337
Instructor Office Hours: Lally 307, Tue 12-2pm


TA: Amr Elsisy
TA Office Hours: AE 217, Mon & Thurs 2:30-3:30pm
TA Contact:



Table of Contents (hide)


Syllabus

Announcements

  • 13 Nov: Assign5 has been posted, with due date 20th Nov, 11:59:59pm.
  • 24 Oct: Assign4 has been posted, with due date 2nd Nov, 11:59:59pm.
  • 11 Oct: Assign3 has been posted, with due date 19th Oct, 11:59:59pm.
  • 21 Sep: Assign2 has been posted, with due date 29th Sep, 11:59:59pm.
  • 13 Sep: Assign1 has been posted, with due date 21st Sep, 11:59:59pm.
  • 27 Aug: NO CLASS on Sep 1, due to religious holiday (Eid); first day of class will be Sep 5. Read Chapter 1.
  • 25 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: Sep 1 NO CLASS (Religious Holiday)
T: Sep 5 Data Mining and Analysis: Algebraic and Probabilistic Views Chapter 1 Attach:lecture1.pdf
F: Sep 8 Numeric Attributes Chapter 2 Attach:lecture2.pdf
T: Sep 12 Numeric Attributed & Dimensionality Reduction I Chapters 2 & 7 Attach:lecture3.pdf
F: Sep 15 Principal Component Analysis Chapter 7 Attach:lecture4.pdf
T: Sep 19 High Dimensional Data Analysis & Kernel Methods Chapters 6, 5 Attach:lecture5.pdf
F: Sep 22 Kernel Methods & Kernel PCA Chapter 5, 7 Attach:lecture6.pdf
T: Sep 26 Linear Discriminant Analysis & Regression Chapter 20; see Attach:regression.pdf Attach:lecture7.pdf
F: Sep 29 Regression Read: Attach:regression.pdf Attach:lecture8.pdf
T: Oct 3 Ridge, Kernel and Logistic Regression Read: Attach:logistic_regression.pdf Attach:lecture9.pdf
F: Oct 6 EXAM I
T: Oct 10 NO CLASS (Mon Schedule)
F: Oct 13 SVMs Chapter 21 Attach:lecture10.pdf
T: Oct 17 Bayes Classifier Chapter 18 Attach:lecture11.pdf
F: Oct 20 KNN & Decision Trees chapters 19 Attach:lecture12.pdf
T: Oct 24 Classifier Evaluation Chapter 22 Attach:lecture13.pdf
F: Oct 27 Classifier Evaluation II Chapter 22 Attach:lecture14.pdf
T: Oct 31 Emsembles Chapter 22 Attach:lecture15.pdf
F: Nov 3 Neural Networks See Piazza Resources Attach:lecture16.pdf
T: Nov 7 EXAM II
F: Nov 10 Deep Learning Attach:lecture17.pdf
T: Nov 14 Kmeans/EM Clustering Chapter 13 Attach:lecture18.pdf
F: Nov 17 Hierarchical Clustering, Density Clustering Chapters 14, 15 Attach:lecture19.pdf
T: Nov 21 Density Clustering, Spectral & Graph Clustering Chapters 15,16 Attach:lecture20.pdf
F: Nov 24 NO CLASS (Thanksgiving Break)
T: Nov 28 Spectral/Graph Clustering Chapter 16 Attach:lecture21.pdf
F: Dec 1 Cluster Evaluation Chapter 17 Attach:lecture22.pdf
T: Dec 5 Itemset Pattern Mining Chapter 8 Attach:lecture23.pdf
F: Dec 8 Itemset Pattern Mining Chapter 8 Attach:lecture24.pdf
T: Dec 12 EXAM III
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Page last modified on December 08, 2017, at 12:26 PM