Please refer to the following description.
During the lectures we changed project deadline for January 7th.
Deadline January 7th at 16:00.
Use Homework submission form for project upload
It is my great pleasure to announce a "mini-conference" tomorrow, Thursday, 10:15-14:00, in the room Liivi 2- 405. (NB! not 403)
This will contain brief reports of a subselection (<50%) of projects completed during the Data Mining course. Come and see how mobile phone could be used to solve sudoku-s instantaneously from photo snapshot; how car numberplates can be recognised from images, how fraudsters could be identified, web-logs analysed, music recommendation systems built, or eye-tracking data analysed, for example.
Building a Naive OCR System
Kaur Alasoo, Jaana Metsamaa
Sudoku reading and solving
Liis Haav, Madis Abel, Jürmo Mehine, Sigrid Pedoson
Rauno Ots, Artjom Lind, Villen Looga, Murad Kamalov
Martti Vasar, Martin Sula, Kaarel Hanson, Kaur Mätas
Automatic Recognition of Car Numberplates
Martin Raie, Ats Uiboupin, Tõnis Tobre, Tiit Ginter
Scalable K-medoids Using Triangle Inequality
Pelle Jakvoits, Siim Karus, Roman Jagomägis
Click-stream Data Analysis of Web Traffic
Riivo Kikas, Karl Potisepp
Mining Episodes Satisfying Multiple Constraints
Karl Blum, Timo Petmanson
Oskar Gross, Anna Leontjeva
Exploratory Analysis of an Annotated Text Corpus
Aleksandr Tkatsenko, Roman Tekhov
Mining and Visualizing Eye-Tracking Data
Marti Kaljuvee, Riivo Kikas, Indrek Kriisa, Jaak Sarv
Elen Kivi, Kait Kasak, Andres Kauts, Oliver Leisalu
Goal: to fit each group in about 12 minutes overall. I.e. use 8-10 minutes for presentation, followed by questions/discussions.
1. Title, authors 2. Motivation and task 3. Main achieved results 4. Some technical details - your work and contribution 5. Conclusions/discussion
-- Prof. Jaak Vilo Bioinformatics - http://biit.cs.ut.ee Institute of Computer Science University of Tartu Liivi 2, 50409 Tartu ESTONIA