CISC 4631 L01 Data Mining Class Schedule
Dr. Weiss, Fall 2023
Classes are Monday, Thursday 2:30 - 3:45, LL-307

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This schedule will be adjusted based on the actual pace of the course.

Project: Guidelines   Word Templates (IEEE, ACM)    Examples (Imbalance, Finance, Biometrics, Covid Tweets)
WEKA:  Official Page, Class Page   Python:  Class Python Resource List. Python DM: Tutorial  
Datasets: UCI ML Repository, KDD Cup, Kaggle, KDnuggets, WISDM, Cybersecurity, Kaggle Sleep Competition

  • Lecture slides and homework assignments available only via blackboard. Submit homework and projects electronically via blackboard.
  • Readings should be completed by the start of the associated class. All chapter readings from Intro to Data Mining.

DATE   TOPIC READING  HOMEWORK
8/31 (R) Review Syllabus
Lecture: Intro to Data Mining I		 Ch 1
9/6 (W) Lecture: Intro to Data Mining II
9/7 (R) Lecture: Data I Ch 2.1-2.3
(skip sup. discr. 66-68)		 Start HW1 (due 9/20)
9/11 (M) Lecture: Data II Ch 2.4 (stop at 2.4.6 p.88)
9/14 (R) Lecture: Data III
9/18 (M) Lecture: Decision Tree I (DT 1-3) Ch 3.1-3.3 (stop at 3.3.3)
9/21 (R) Lecture: Decision Tree II (DT 4) Ch 3.3 (3.3.3 - end) Start HW2 (due 10/2)
9/25 (M) Lecture: Decision Tree III (DT 5)
Review HW1 		Ch 3.4 Download WEKA 3.8
9/28 (R) Lecture: Decision Tree IV (DT 6-7)
Discuss Course Project 		Ch 3.5-3.8
10/2 (M) Lecture: WEKA Tutorial
(bring laptop loaded with WEKA)
 Start HW3 (due 10/13)
10/5 (R) Lecture: Text Classification
Review HW2
 Ch 4.11
10/12 (R) Lecture: Class Imbalance Ch 4.11
10/16 (M) Midterm Review
  (Questions, Solutions) 		Project Proposal Due
10/16 (M) Office hours: Dr. Weiss, LL 610d, 1-2pm
10/17 (T) Office hours: Dr. Weiss via zoom 4-5pm
10/17 (T) Office hours: TA via zoom 8-9pm
10/18 (W) Office hours: Dr. Weiss via zoom 1-2pm
10/18 (W) Office hours: TA via zoom 6-7pm
10/19 (R) Midterm Exam
(includes all covered topics)
10/23 (M) Go Over Midterm Exam
Review HW3
10/26 (R) Lecture: Clustering I
Discuss Proposal Feedback 		Ch 7
10/30 (M) Lecture: Ensembles Ch 4.10
11/2 (R) Lecture: Clustering II
11/6 (M) Lecture: Association Analysis I Ch 5.1,5.2,5.3 Start HW4 (due 11/19)
11/9 (R) Lecture: Association Analysis II
11/13 (M) Lecture: Naive Bayes Classifier Ch 4.4
11/16 (R) Lecture: Neural Networks Ch 4.7 (249-257, 261)
11/20 (M) Class Cancelled
11/27 (M) Lecture: Nearest Neighbor Classifier
Lecture: Graph Mining
Ch 4.3
11/30 (R) Review HW4
Final Exam Review
(practice final 1, solutions 1)
(practice final 2, solutions 2)
12/4 (M) Special Lecture: Large Language Models
Gabelli building, Hall 333
3:00-5:00pm
12/7 (R) Project Presentations
  Ilayda/Nora, Muna
  Noah 		Project Paper Due
12/5 (T) Office hours: Dr. Weiss via zoom 4-5pm
12/11 (M) Office hours: TA via zoom 4-5pm
12/12 (T) Office hours: Dr. Weiss via zoom 4-5pm
12/13 (W) Office hours: Dr. Weiss via zoom 1-2pm
12/13 (W) Office hours: TA via zoom 6-7pm
12/14 (R) Cumulative Final at 1:30pm LL-307