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Glossary
Semester (Sem)
1First Semester
2Second Semester
AAnnual course
Educational activities
CSimilar or integrative activities
Language
Course completely offered in italian
Course completely offered in english
--Not available
Innovative teaching
The credits shown next to this symbol indicate the part of the course CFUs provided with Innovative teaching.
These CFUs include:
  • Subject taught jointly with companies or organizations
  • Blended Learning & Flipped Classroom
  • Massive Open Online Courses (MOOC)
  • Soft Skills
Course Details
Context
Academic Year 2017/2018
School School of Industrial and Information Engineering
Name (Master of Science degree)(ord. 270) - MI (474) Telecommunication Engineering
Track Z2E - TECHNOLOGIES
Programme Year 1

Course Details
ID Code 089167
Course Title DATA MINING AND TEXT MINING (UIC 583)
Course Type Mono-Disciplinary Course
Credits (CFU / ECTS) 5.0
Semester Second Semester
Course Description Machine Learning techniques are very important tools of Data Mining. This course introduces the many relevant algorithms developed in this area that are applied to extract interesting knowledge from data such as decision and regression trees, classification and association rules, clustering, Bayesian networks, etc. The course also illustrates the steps of a typical Data Mining process.
Scientific-Disciplinary Sector (SSD)
Educational activities SSD Code SSD Description CFU
C
ING-INF/05
INFORMATION PROCESSING SYSTEMS
5.0

Schedule, add and removeAlphabetical groupLecturer(s)LanguageTeaching Assignment Details
From (included)To (excluded)
---AZZZZLanzi Pierluca
manifesti v. 3.7.7 / 3.7.7
Area Servizi ICT
19/01/2025