Data Mining (309AA) - 9 CFU A.Y. 2024/2025

Instructors:

Anna Monreale
- KDDLab, Università di Pisa
- anna [dot] monreale [at] unipi [dot] it
Mattia Setzu
- KDDLab, Università di Pisa
- mattia [dot] setzu [at] unipi [dot] it

Teaching Assistant:

* Lorenzo Mannocci
- University of Pisa
- lorenzo [dot] mannocci [at] phd [dot] unipi [dot] it

News

[21.09.2024] Schedule updated, see details below
[14.09.2024] The lectures will start on 19th September 2024

Learning Goals

Fundamental concepts of data knowledge and discovery.
Data understanding
Data preparation
Clustering
Classification
Pattern Mining and Association Rules
Outlier Detection
Time Series Analysis
Sequential Pattern Mining
Ethical Issues

Schedule

Classes

Day of Week	Hour	Room
Tuesday	11:00 - 13:00	Room C1
Thursday	14:00 - 16:00	Room A1
Friday	09:00 - 11:00	Room C1

Office hours - Ricevimento:

Anna Monreale: TBD
Mattia Setzu: Infos on Unimap

A Teams Channel will be used ONLY to post news, Q&A, and other stuff related to the course. The lectures will be only in presence and will NOT be live-streamed, but recordings of the lecture or of the previous years will be made available here for non-attending students.

Teaching Material

Books

Title	Authors	Edition
Introduction to Data Mining	Pang-Ning Tan, Michael Steinbach, Vipin Kumar	2nd
Introduction to Data Science: A Python Approach to Concepts, Techniques and Applications	Laura Igual, Santi Seguí	2nd
Python Data Science Handbook: Essential Tools for Working with Data	Jake VanderPlas	1st
Deep Learning	Ian Goodfellow, Yoshua Bengio, Aaron Courville
Introduction to Linear Algebra	Gilbert Strang	5th

Online tutorials

	Authors
Digital Signals Theory	Brian McFee
An introduction to Dynamic Time Warping	Romain Tavenard
Introduction to Python	Mattia Setzu

Slides

The slides used in the course will be inserted in the calendar after each class. Some are part of the slides provided by the textbook's authors Slides per "Introduction to Data Mining".

Software

Software material available in the Github repository (available in the coming days).

Class Calendar (2024/2025)

First Semester

	Day	Topic	Teaching material	References	Teacher
	17.09	Candeled
1.	19.09	Overview. Introduction to KDD	1-overview-2024.pdf 1-intro-dm-2024.pdf	Chap. 1 Kumar Book	Monreale
2.	20.09	Data Understanding + Data Preparation (Aggr., Sampling, Dim. Reduction, Feature Selection, Feature Creation).	2-data_understanding-2024.pdf 3-data_preparation-2024.pdf	Chap.2 Kumar Book and additioanl resource of Kumar Book: Data Exploration Chap. If you have the first ed. of KUMAR this is the Chap 3	Monreale
3	24.09	PCA,TSNE			Setzu

Exams

TBD

Previous years

Data Mining (309AA) - 9 CFU A.Y. 2023/2024

DM-INF 2022-2023

Data Mining (309AA) - 9 CFU A.Y. 2021/2022

Data Mining (309AA) - 9 CFU A.Y. 2020/2021

DM-2019/20