[Krisztian Buza's homepage] [Magyarul]

Data Mining Techniques

(This page is under construction.)

Basic information
Lecturer: Krisztian Buza
E-Mail: buza (at) cs (dot) bme (dot) hu
When? Where? Monday, 8:30am-10:00am, QB104, every week
(without break) and
Thursday 10:15am-12:00am, T601, odd weeks
(once in 14 days)
Exercises:
Thursday, 8:30am-10:00am, R4M (without break, 2 groups)
Requirements

Requirements (PDF, in Hungarian)

Tests:
1. Test -- Monday, 26th March, 8:30am-10:00am, Q.B.104.

RESULTS HERE
You can have a look at your test's corrections on tuesday, the 3rd April, at the Department of Computer Science, 2nd floor, room I.E.2.17.3.

2. Test -- Monday, 23th April, 8:30am-10:00am, Q.B.104.
RESULTS HERE
You can have a look at your test's corrections on thursday, the 26rd April, at the Department of Computer Science, 2nd floor, room I.E.2.17.3.


RESULTS OF THE 1st FETCH-IN TEST ("pót ZH")
RESULTS OF THE 2nd FETCH-IN TEST ("pót ZH")
You can make an appointment in order to have a look at your fetch-in test's corrections. This appointment can not be later than the 11th May, 2012.

RESULTS OF THE FETCH-IN-FETCH-IN TEST ("ppZH")


Slides

On the webpage of this book:
http://www-users.cs.umn.edu/~kumar/dmbook/index.php

About Hough Transform:
http://www.ismll.uni-hildesheim.de/lehre/ip-08w/script/imageanalysis-2up-06-line-recognition.pdf

Matrix factorisation (in Hungarian)
http://cs.bme.hu/~buza/edu/dm_techn/matrix_faktorizacio.pdf

Java Basics (in Hungarian)
http://cs.bme.hu/~buza/edu/dm_techn/java_alapok-public.pdf

Tutorial Exercises (in Hungarian)
http://cs.bme.hu/~buza/edu/dm_techn/dm_feladatok.pdf

Tutorial Exercises 2 (in Hungarian)
http://cs.bme.hu/~buza/edu/dm_techn/Adatb_gyak2.pdf

Google Calendar
Tentative schedule of the events related to this course (in Hungarian):
https://www.google.com/calendar/embed?src=hk71oktq84kdu8n76hcec57qbk%40group.calendar.google.com&ctz=Europe/Budapest

Exercises

Exercise 1 (in Hungarian)
Exercise 2 (in Hungarian)
Exercise 4 (in Hungarian)


Small Homeworks

Small Homework 1 (in Hungarian)
Small Homework 2 (in Hungarian)
Small Homework 3 (in Hungarian)


Recommended Readings
Pang-Ning Tan, Michael Steinbach, Vipin Kumar:
Introduction to Data Mining (book+slides)
http://www-users.cs.umn.edu/~kumar/dmbook/index.php

Bodon Ferenc:
Adatbányászati algoritmusok
http://www.cs.bme.hu/~bodon/magyar/adatbanyaszat/tanulmany/index.html

K. Buza:
Fusion Methods for Time-Series Classification
http://www.ismll.uni-hildesheim.de/pub/pdfs/Buza_thesis.pdf

P. Christen:
Automatic record linkage using seeded nearest neighbour and support vector machines
KDD, 2008
http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.133.1107&rep=rep1&type=pdf

M. Radovanovic, A. Nanopoulos, M. Ivanovic:
Hubs in Space: Popular Nearest Neighbors in High-Dimensional Data
JMLR, Vol. 11, 2010
http://jmlr.csail.mit.edu/papers/volume11/radovanovic10a/radovanovic10a.pdf

T. Dietterich:
Ensemble methods in machine learning
Multiple classifier systems, Springer, 2000
http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.34.4718&rep=rep1&type=pdf

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