Παρουσίαση/Προβολή

(588) -  ΗΛΙΑΣ ΖΑΒΙΤΣΑΝΟΣ

Περιγραφή Μαθήματος

• When: Every Wednesday @ 18.00 (GMT+2)
• Slides to be uploaded on eClass

Instructor

• Ilias Zavitsanos

Books

• Han, Jiawei, Jian Pei, and Micheline Kamber. Data mining: concepts and techniques (3rd Edition). Elsevier, 2016
• Theodoridis, Sergios and Konstantinos Koutroumbas. Pattern Recognition, Third Edition. Orlando, FL, USA: Academic Press, Inc., 2006. ISBN: 0123695317

Marking scheme

• Exercises: 40% [2 mini projects]
  
• Final Exam: 60% [grade ≥ 6]
• To pass the course: average grade ≥ 6

Lectures

• 01 - Introduction [18/10/2023]
• 02 - Data preprocessing: quality/noise [25/10/2023]
• 03 - Data preprocessing: reduction [1/11/2023]
• 04 - Data preprocessing: transformations [8/11/2023]
• 05 - Sequential patterns and association rules [15/11/2023]
• 06 - Sequential patterns and association rules 2 [22/11/2023]
• 07 - Data classification [29/11/2023]
• 08 - Data clustering [6/12/2023]
• 09 - Outlier analysis [13/12/2023]
• 10 - Vector semantics [20/12/2023]
• 11 - Probabilistic language models [10/1/2024]
• 12 - Introduction to NLP [17/1/2024]
• 13 - Practice/Recap [24/1/2024]

Exams

• [to be announced]

Ημερομηνία δημιουργίας

Τρίτη 20 Οκτωβρίου 2020