Instructors:

• Anna Monreale
  • KDDLab, Università di Pisa
  • anna [dot] monreale [at] unipi [dot] it
• Francesca Naretto
  • KDDLab, Università di Pisa
  • francesca [dot] naretto [at] unipi [dot] it

• [08.09.2025] Lecture of the first week will be canceled, so they will start on 22nd September 2025

• Fundamental concepts of data knowledge and discovery.
• Data Types in Healthcare Data and Public Databases
• Data understanding
• Data preparation
• Clustering
• Classification
• Rule-based methods
• Outlier Detection
• Time Series Analysis
• Sequential Pattern Mining

Classes

Office hours - Ricevimento: Anna Monreale: TBD - Online using Teams or in my Office (Appointment by email). Francesca Naretto: TBD - Online using Teams or in my Office (Appointment by email).

A Teams group 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.

• Pang-Ning Tan, Michael Steinbach, Vipin Kumar. Introduction to Data Mining. Addison Wesley, ISBN 0-321-32136-7, 2006
  • http://www-users.cs.umn.edu/~kumar/dmbook/index.php
  • Chapters 4,6 and 8 are also available at the publisher's Web site.
• Jake VanderPlas. Python Data Science Handbook: Essential Tools for Working with Data. 1st Edition.
• For Python Notions: Very basic notions on Python

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

• Python - Anaconda (at least 3.7 version!!!): Anaconda is the leading open data science platform powered by Python. Download page (the following libraries are already included)
• Scikit-learn: python library with tools for data mining and data analysis Documentation page
• Pandas: pandas is an open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming language. Documentation page

TBD

Data Analytics for Digital Health (DAD) - 9 CFU A.Y. 2024/2025