First cycle
degree courses
Second cycle
degree courses
Single cycle
degree courses
Faculty of Engineering
COMPUTER ENGINEERING
Course unit
DATA MINING
INN1029617, A.A. 2012/13

Information concerning the students who enrolled in A.Y. 2012/13

Information on the course unit
Degree course Second cycle degree in
COMPUTER ENGINEERING
IN0521, Degree course structure A.Y. 2009/10, A.Y. 2012/13
N0
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Number of ECTS credits allocated 6.0
Type of assessment Mark
Course unit English denomination DATA MINING
Mandatory attendance No
Language of instruction Italian
Branch PADOVA
Single Course unit The Course unit CANNOT be attended under the option Single Course unit attendance
Optional Course unit The Course unit can be chosen as Optional Course unit

Lecturers
Teacher in charge ANDREA ALBERTO PIETRACAPRINA INF/01

ECTS: details
Type Scientific-Disciplinary Sector Credits allocated
Core courses ING-INF/05 Data Processing Systems 6.0

Course unit organization
Period Second semester
Year 1st Year
Teaching method frontal

Type of hours Credits Teaching
hours
Hours of
Individual study
Shifts
Lecture 6.0 48 102.0 No turn

Calendar
Start of activities 04/03/2013
End of activities 15/06/2013
Show course schedule 2018/19 Reg.2009 course timetable

Examination board
Board From To Members of the board
7 A.A. 2016/2017 01/10/2016 30/09/2018 PIETRACAPRINA ANDREA ALBERTO (Presidente)
PUCCI GEPPINO (Membro Effettivo)
FANTOZZI CARLO (Supplente)
VANDIN FABIO (Supplente)
6 A.A. 2014/2015 01/10/2014 30/09/2016 FANTOZZI CARLO (Presidente)
PIETRACAPRINA ANDREA ALBERTO (Membro Effettivo)
5 A.A. 2014/2015 01/10/2014 15/03/2016 FANTOZZI CARLO (Presidente)
PIETRACAPRINA ANDREA ALBERTO (Membro Effettivo)
4 A.A. 2014/2015 01/10/2014 15/03/2016 PIETRACAPRINA ANDREA ALBERTO (Presidente)
PUCCI GEPPINO (Membro Effettivo)
AGOSTI MARISTELLA (Supplente)
BILARDI GIANFRANCO (Supplente)
COMIN MATTEO (Supplente)
DE POLI GIOVANNI (Supplente)
FANTOZZI CARLO (Supplente)
FERRARI CARLO (Supplente)
PIZZI CINZIA (Supplente)
SATTA GIORGIO (Supplente)
01/10/2013 15/03/2015 PIETRACAPRINA ANDREA ALBERTO (Presidente)
PUCCI GEPPINO (Membro Effettivo)
BILARDI GIANFRANCO (Supplente)
DALPASSO MARCELLO (Supplente)
DE POLI GIOVANNI (Supplente)
FANTOZZI CARLO (Supplente)
FERRARI CARLO (Supplente)
2 2012 01/10/2012 15/03/2014 PIETRACAPRINA ANDREA ALBERTO (Presidente)
PUCCI GEPPINO (Membro Effettivo)
BILARDI GIANFRANCO (Supplente)
FANTOZZI CARLO (Supplente)

Syllabus
Prerequisites:
Target skills and knowledge:: The course introduces the student to the main techniques aimed at the efficient and effective extraction of useful and interesting information from (potentially large) datasets. In particular, it focuses on association analysis and learning techniques.
Course unit contents: See full program.
Planned learning activities: Notions of Data Warehousing. Association Analysis: mining of frequent itemsets and association rules; notions of closure and maximality; top-k approach; critical perspective on the support-confidence framework; mining of statistically significant frequent itemsets; mining of sequential patterns. Learning: classification problem; validation of a classifier and of a classification technique; decision trees, rule-based classification; Naive Bayes classification; Support Vector Machines; notions of clustering.
Textbooks: P.N. Tan, M. Steinbach, V. Kumar, Introduction to Data Mining. --: Addison Wesley, 2006. Cerca nel catalogo
A. Pietracaprina, Dispense per il corso. --: --, --.
Teaching methods: Class lectures and individual lab work.
Assessment criteria: Compulsory written exam and project. Discretionary oral exam.
Further information: