About: Using Spectral Clustering for Finding Student's Patterns of Behavior in Social Networks

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	The high dimensionality of the data generated by social networks has been a big challenge for researchers. In order to solve the problems associated with this phenomenon, a number of methods and techniques were developed. Spectral clustering is a data mining method used in many applications; in this paper we used this method to find students’ behavioral patterns performed in an elearning system. In addition, a software was introduced to allow the user (tutor or researcher) to define the data dimensions and input values to obtain ppropriate graphs with behavioral pattens that meet his/her needs. Behavioral patterns were compared with students’ study performance and evaluation with relation to their possible usage in collaborative learning. The high dimensionality of the data generated by social networks has been a big challenge for researchers. In order to solve the problems associated with this phenomenon, a number of methods and techniques were developed. Spectral clustering is a data mining method used in many applications; in this paper we used this method to find students’ behavioral patterns performed in an elearning system. In addition, a software was introduced to allow the user (tutor or researcher) to define the data dimensions and input values to obtain ppropriate graphs with behavioral pattens that meet his/her needs. Behavioral patterns were compared with students’ study performance and evaluation with relation to their possible usage in collaborative learning. (en)
Title	Using Spectral Clustering for Finding Student's Patterns of Behavior in Social Networks Using Spectral Clustering for Finding Student's Patterns of Behavior in Social Networks (en)
skos:prefLabel	Using Spectral Clustering for Finding Student's Patterns of Behavior in Social Networks Using Spectral Clustering for Finding Student's Patterns of Behavior in Social Networks (en)
skos:notation	RIV/61989100:27240/10:86077715!RIV13-MSM-27240___
http://linked.open...avai/riv/aktivita	S
http://linked.open...avai/riv/aktivity	S
http://linked.open...vai/riv/dodaniDat	2013
http://linked.open...aciTvurceVysledku	Snášel, Václav Dráždilová, Pavla Slaninová, Kateřina Martinovič, Jan Obadi, Gamila Ahmed
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Vysoká škola báňská - Technická univerzita Ostrava / Fakulta elektrotechniky a informatiky
http://linked.open...dnocenehoVysledku	294829
http://linked.open...ai/riv/idVysledku	RIV/61989100:27240/10:86077715
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	social networks, spectral clustering, beharioral patterns (en)
http://linked.open.../riv/klicoveSlovo	social networks beharioral patterns spectral clustering
http://linked.open...ontrolniKodProRIV	[11FBE9A302E1]
http://linked.open...v/mistoKonaniAkce	Stedronin-Plazy, Czech Republic
http://linked.open...i/riv/mistoVydani	Praha
http://linked.open...i/riv/nazevZdroje	CEUR Workshop Proceedings. Volume 567
http://linked.open...in/vavai/riv/obor	IN
http://linked.open...ichTvurcuVysledku	5 (xsd:int)
http://linked.open...cetTvurcuVysledku	5 (xsd:int)
http://linked.open...UplatneniVysledku	2010
http://linked.open...iv/tvurceVysledku	Dráždilová, Pavla Martinovič, Jan Snášel, Václav Slaninová, Kateřina Obadi, Gamila Ahmed
http://linked.open...vavai/riv/typAkce	CST - Celostátní
http://linked.open.../riv/zahajeniAkce	2010-04-21 (xsd:date)
issn	1613-0073
number of pages	13 (xsd:int)
http://purl.org/ne...btex#hasPublisher	MATFYZPRESS
https://schema.org/isbn	978-80-7378-116-3
http://localhost/t...ganizacniJednotka	27240

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