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 Comment

Introduction to Data and Data Mining

๐Ÿ““

Monday

2024/11/04

8:00

10:00

Slides 1 Slides 2

skip part on data viz

Data Pre Processing

๐Ÿ““

Friday

2024/11/08

8:00

10:00

Slides

Frequent Patterns

๐Ÿ““

Thursday

2024/11/14

10:00

12:00

Slides

external repo

Clustering

๐Ÿ““

Tuesday

2024/11/19

8:00

10:00

Slides

blogpost

Classification

๐Ÿ““

Tuesday

2024/11/19

10:00

12:00

Slides

Project Work

๐Ÿ–

Friday

2024/11/22

8:00

10:00

Project Work

๐Ÿ–

Friday

2024/11/29

10:00

12:00

Exam

Exam

Tuesday

2024/12/03

16:00

18:00

Example

Projects Presentations

Exam

Thursday

2024/12/05

10:00

12:00

Projects Presentations

Exam

Thursday

2024/12/05

14:00

16:00

NB: The course schedule can be subject to changes!

Example Projects

Project Checklist

-REGISTER YOUR GROUP

For visualization

https://streamlit.io/

Suggested Material

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