magistraleinformatica:dmi:start
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Indice
Data Mining (309AA) - 9 CFU A.Y. 2024/2025
Instructors:
- Anna Monreale
- KDDLab, Università di Pisa
- Mattia Setzu
- KDDLab, Università di Pisa
Teaching Assistant:
- * Lorenzo Mannocci
- University of Pisa
News
- [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 | 09:00 - 11:00 | Room C |
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 | Video Lectures | 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. | 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
magistraleinformatica/dmi/start.1726833122.txt.gz · Ultima modifica: 20/09/2024 alle 11:52 (4 settimane fa) da Anna Monreale