FI:PV056 Knowledge discovery in DB - Course Information
PV056 Knowledge Discovery in Databases
Faculty of InformaticsSpring 2003
- Extent and Intensity
- 2/1. 3 credit(s) (plus extra credits for completion). Recommended Type of Completion: zk (examination). Other types 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
- Mon 14:00–15:50 B011
- Prerequisites (in Czech)
- ! P056 Knowledge discovery in DB
- 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
- Applied Informatics (programme FI, B-AP)
- Applied Informatics (programme FI, N-AP)
- Informatics (programme FI, B-IN)
- Informatics (programme FI, M-IN)
- Informatics (programme FI, N-IN)
- Upper Secondary School Teacher Training in Informatics (programme FI, M-IN)
- Upper Secondary School Teacher Training in Informatics (programme FI, M-SS)
- Upper Secondary School Teacher Training in Informatics (programme FI, N-SS)
- Course objectives (in Czech)
- Přehled základních metod, algoritmů a systémů pro vyhledávání znalostí v databázích. Součástí předmětu je projekt.
- Syllabus
- Knowledge, association, dependency in databases. Interestingness relation. Knowledge discovery in databases(KDD). Data mining.
- Typical KDD tasks: clustering, classification, dependency discovery, deviation detection.
- Basic algorithms of machine learning.
- Preprocessing.
- Association rules
- KDD systems MineSet and Kepler.
- DBMS extension to support KDD. KESO Project.
- Inductive query languages. DBLearn.
- Knowledge discovery in RDB, OODB, geographic data and WWW and text.
- Data warehousing, OLAP.
- Literature
- Advances in knowledge discovery and data mining. Edited by Usama M. Fayyad. Menlo Park: AAAI Press, 1996, xiv, 611. ISBN 0262560976. info
- Assessment methods (in Czech)
- Nutnou podmínkou absolvování je projekt.
- Language of instruction
- Czech
- Further Comments
- The course is taught annually.
- Listed among pre-requisites of other courses
- Teacher's information
- http://www.fi.muni.cz/usr/popelinsky/lectures/kdd/
- Enrolment Statistics (Spring 2003, recent)
- Permalink: https://is.muni.cz/course/fi/spring2003/PV056