Finding patterns of Student's Behavior in Synthetic Social Networks
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F10%3A86077717" target="_blank" >RIV/61989100:27240/10:86077717 - isvavai.cz</a>
Alternative codes found
RIV/47813059:19520/10:#0002013
Result on the web
<a href="http://dx.doi.org/10.1109/ASONAM.2010.63" target="_blank" >http://dx.doi.org/10.1109/ASONAM.2010.63</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ASONAM.2010.63" target="_blank" >10.1109/ASONAM.2010.63</a>
Alternative languages
Result language
angličtina
Original language name
Finding patterns of Student's Behavior in Synthetic Social Networks
Original language description
Spectral clustering is a data mining method used for finding patterns in high dimensional datasets. It has been applied effectively to solve many problems in signal processing, bioinformatics, etc. In this paper spectral clustering was implemented to find students' patterns of behavior in an elearning system, to explore the relationship between the similarity of students' behavior and their academic performance.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2010 International Conference on Advances in Social Networks Analysis and Mining
ISBN
978-0-7695-4138-9
ISSN
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e-ISSN
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Number of pages
3
Pages from-to
411-413
Publisher name
IEEE Computer Society
Place of publication
Los Alamitos, California
Event location
Odense, Denmark
Event date
Aug 9, 2010
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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