Mining Knowledge from Educational Data
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17450%2F09%3AA1000VZK" target="_blank" >RIV/61988987:17450/09:A1000VZK - isvavai.cz</a>
Result on the web
—
DOI - Digital Object Identifier
—
Alternative languages
Result language
angličtina
Original language name
Mining Knowledge from Educational Data
Original language description
Utilization of information and communication technologies in educational processes generates large amount of data as a side effect. Educational data may contain many interesting information and potential knowledge about students and their learning habits. However, such knowledge is hidden and their extraction is not trivial. Knowledge discovery from databases (also known as Data Mining) is a methodology for extraction of non-trivial, previously unknown, and potentially useful knowledge from data. In this paper, we discuss possibilities for applications of data mining in educational process.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
AM - Pedagogy and education
OECD FORD branch
—
Result continuities
Project
—
Continuities
O - Projekt operacniho programu
Others
Publication year
2009
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Theoretical and Practical Aspects of Distance Learning
ISBN
978-83-925281-4-2
ISSN
—
e-ISSN
—
Number of pages
8
Pages from-to
—
Publisher name
—
Place of publication
—
Event location
Cieszyn, Poland
Event date
Oct 19, 2009
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
—