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  • Overview
  • Main objectives
  • Learning outcomes
  • My work in this course

Algorithmic Methods of Data Mining and Laboratory

Sapienza University of Rome · M.Sc. in Data Science

Published

September 23, 2024

Overview

This course introduces the main algorithmic techniques of data mining, with applications to semistructured and unstructured data (text, transactions, graphs, information networks).
Students gain both theoretical foundations of data mining and practical experience using programming tools for analysis.

👉 Complete course information


Main objectives

  • Learn algorithmic techniques for data mining in diverse domains
  • Develop competence with graph mining, search engines, and unsupervised learning
  • Acquire hands-on skills with coding and data exploration

Learning outcomes

  • Ability to analyze and process unstructured and network data
  • Apply algorithmic methods to extract knowledge from complex datasets
  • Combine theoretical understanding with programming practice

My work in this course

  • Notes & Materials
    • Introduction Topics, Search Engine, Unsupervised Learning, Graphs
  • Projects
    • Homework 1
    • Homework 2
    • Homework 3
    • Homework 4
    • Homework 5

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