PV115 Project in Knowledge Discovery in Data Bases

Faculty of Informatics
Autumn 2004
Extent and Intensity
0/2. 2 credit(s) (plus extra credits for completion). Type of Completion: z (credit).
Teacher(s)
doc. RNDr. Lubomír Popelínský, Ph.D. (lecturer)
Guaranteed by
prof. RNDr. Mojmír Křetínský, CSc.
Department of Computer Science – Faculty of Informatics
Contact Person: doc. RNDr. Lubomír Popelínský, Ph.D.
Timetable
Tue 11:00–12:50 B418
Prerequisites (in Czech)
! P115 Project in KDD
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
there are 19 fields of study the course is directly associated with, display
Course objectives
This project can be interesting for everyone who has basic knowledge about database systems and about one of the folllowing areas: data mining, statistics, data vizualization.
Syllabus
  • Implementation/Installation of a data mining method
  • Experiments
  • Technical report
Literature
  • BERKA, Petr. Dobývání znalostí z databází. Vyd. 1. Praha: Academia, 2003, 366 s. ISBN 8020010629. info
Assessment methods (in Czech)
Nutnou podmínkou úspěšného ukončení je technická zpráva popisující řešený projekt.
Language of instruction
Czech
Further Comments
The course is taught annually.
The course is also listed under the following terms Autumn 2002, Autumn 2003, Autumn 2005, Autumn 2006, Autumn 2007, Spring 2008, Autumn 2008, Spring 2009, Autumn 2009, Spring 2010, Autumn 2010, Spring 2011, Autumn 2011, Spring 2012, Autumn 2012, Spring 2013, Autumn 2013, Spring 2014, Autumn 2014, Spring 2015, Autumn 2015, Spring 2016, Autumn 2016, Spring 2017, Autumn 2017, Spring 2018, Autumn 2018, Spring 2019, Spring 2020, Autumn 2020, Spring 2021, Autumn 2021, Spring 2022, Autumn 2022, Spring 2023, Autumn 2023, Spring 2024, Autumn 2024, Spring 2025.
  • Enrolment Statistics (Autumn 2004, recent)
  • Permalink: https://is.muni.cz/course/fi/autumn2004/PV115