TIETS44 Big Data Entity Resolution 5 ECTS
Periods
Period I Period II Period II Period IV
Language of instruction
English
Type or level of studies
Advanced studies
Course unit descriptions in the curriculum
Degree Programme in Computer Sciences
Faculty of Natural Sciences

Learning outcomes

After completing the course, the student is expected to:
- know the basic concepts and techniques for big data entity resolution, including blocking and meta-blocking techniques, and techniques for iterative and progressive entity resolution,
- be able to handle contemporary research issues and problems on big data entity resolution, and
- solve real-world problems.

Enrolment for University Studies

Enrolment time has expired

Teachers

Konstantinos Stefanidis, Teacher responsible
Kostas.Stefanidis[├Ąt]uta.fi

Homepage URL

Teaching

7-Jan-2019 – 1-Mar-2019
Lectures
Meetings
Thu 10-Jan-2019 - 28-Feb-2019 weekly at 14-16, Pinni B0016
Fri 11-Jan-2019 - 1-Mar-2019 weekly at 14-16, PInni B0016
Exercises