Data Mining

ISTDBM2 - 3 ECTS - 4th Edition

Abstract

This course introduces the basics notions of datamining. It surveys techniques for data preprocessing, i.e., cleansing, integration, data reduction. Then, it jumps into foundational aspects of data mining like: Frequent Patterns mining, classification, clustering, outliers detection. The course examination consists of both a project and an exam with open and multiple choice questions and exercises.

SCHEDULE

Topic Day Date From To Material Video Comment

Introduction to Data and Data Mining

πŸ““

Monday

2024/11/04

8:00

10:00

Slides 1 Slides 2

skip part on data viz

Data Pre Processing

πŸ““

Friday

2024/11/08

8:00

10:00

Slides

Frequent Patterns

πŸ““

Thursday

2024/11/14

10:00

12:00

Slides external repo

Clustering

πŸ““

Tuesday

2024/11/19

8:00

10:00

Slides external repo

Classification

πŸ““

Tuesday

2024/11/19

10:00

12:00

Slides

Project Work

πŸ–

Friday

2024/11/22

8:00

10:00

Project Work

πŸ–

Friday

2024/11/29

10:00

12:00

Exam

Exam

Tuesday

2024/12/03

16:00

18:00

Example

Projects Work

πŸ–

Thursday

2024/12/05

10:00

12:00

Projects Work

πŸ–

Thursday

2024/12/05

14:00

16:00

Project Submission (+ Video)

Exam

Friday

2024/12/20

00:00

00:00

Same form that for DBM1

NB: The course schedule can be subject to changes!

Example Projects

Project Checklist

-REGISTER YOUR GROUP

For visualization

https://streamlit.io/

Suggested Material

Previous Years