DATA ANALYSIS AND DATA MINING

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Code
86798
ACADEMIC YEAR
2017/2018
CREDITS
6 credits during the 2nd year of 8733 Computer Engineering (LM-32) GENOVA

6 credits during the 2nd year of 9014 Computer Science (LM-18) GENOVA

SCIENTIFIC DISCIPLINARY SECTOR
ING-INF/05
LANGUAGE
English
TEACHING LOCATION
GENOVA (Computer Engineering)
semester
1° Semester
Teaching materials

OVERVIEW

In the information age any system or device generates some form of data for diagnostic purposes or analysis. The course details the basic techniques for collecting, processing and analyzing data in order to extract useful information and knowledge for decision making.

AIMS AND CONTENT

LEARNING OUTCOMES

The course provides advanced skills related to data analysis. It provides insights on data mining methodologies and the applications of these methodologies to knowledge extraction from data. The student will learn both the theoretical background and the practical issues for data analysis.

TEACHING METHODS

The course consists of lectures and practical lab sessions using MATLAB.

SYLLABUS/CONTENT

  1. Introduction
  2. Data, Uncertainty and Learning Problems
  3. ​Data preprocessing and Exploratory Data Analysis
  4. Association Mining
  5. Statistical inference
  6. Naïve methods
  7. Rule based methods
  8. Linear methods
  9. Kernel methods
  10. Advances in kernel methods
  11. Neural networks

RECOMMENDED READING/BIBLIOGRAPHY

C.C.Aggarwal, "Data Mining - The textbook", 2015

T.Hastie, R.Tibshirani, J.Friedman, "The Elements of Statistical Learning: Data Mining, Inference, and Prediction", 2009.

M.R.Berthold, C.Borgelt, F.Hoppner, F.Klawonn, "Guide to Intelligent Data Analysis", 2010.

TEACHERS AND EXAM BOARD

Office hours: By appointment.

Exam Board

DAVIDE ANGUITA (President)

LUCA ONETO (President)

SANDRO RIDELLA

LESSONS

TEACHING METHODS

The course consists of lectures and practical lab sessions using MATLAB.

EXAMS

EXAM DESCRIPTION

Oral

Exam schedule

Date Time Location Type Notes
16/02/2018 09:00 GENOVA Esame su appuntamento
27/07/2018 09:00 GENOVA Esame su appuntamento
14/09/2018 09:00 GENOVA Esame su appuntamento