About: Improving the Classification of Study-related Data through Social Network Analysis

Facets (new session)
Description
Metadata
Settings
- owl:sameAs
- Inference Rule:

About: Improving the Classification of Study-related Data through Social Network Analysis Goto Sponge NotDistinct Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

Attributes	Values
rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	The Information System of Masaryk University (IS MU) hosts applications utilized for managing study-related records, e-learning tools and those facilitating communication inside the University. This paper is concerned with improvement of results obtained with Excalibur, a tool for mining study-related data, when linked data have been added. These data describe social dependencies gathered from e-mail and discussion boards conversation. We first describe results based on the original (non-linked) data that are periodically saved into Excalibur data warehouse. Then focus on extraction of social dependencies namely relations and communication among students. We describe a method for feature extraction from the social dependencies. New features were explored by social network analysis and visualization tool Pajek and added to the original data. We show that such enriched data allows to significantly improve results obtained with data mining methods. The Information System of Masaryk University (IS MU) hosts applications utilized for managing study-related records, e-learning tools and those facilitating communication inside the University. This paper is concerned with improvement of results obtained with Excalibur, a tool for mining study-related data, when linked data have been added. These data describe social dependencies gathered from e-mail and discussion boards conversation. We first describe results based on the original (non-linked) data that are periodically saved into Excalibur data warehouse. Then focus on extraction of social dependencies namely relations and communication among students. We describe a method for feature extraction from the social dependencies. New features were explored by social network analysis and visualization tool Pajek and added to the original data. We show that such enriched data allows to significantly improve results obtained with data mining methods. (en)
Title	Improving the Classification of Study-related Data through Social Network Analysis Improving the Classification of Study-related Data through Social Network Analysis (en)
skos:prefLabel	Improving the Classification of Study-related Data through Social Network Analysis Improving the Classification of Study-related Data through Social Network Analysis (en)
skos:notation	RIV/00216224:14330/11:00053570!RIV12-MSM-14330___
http://linked.open...avai/predkladatel	Fakulta informatiky
http://linked.open...avai/riv/aktivita	P S
http://linked.open...avai/riv/aktivity	P(LA09016), S
http://linked.open...vai/riv/dodaniDat	2012
http://linked.open...aciTvurceVysledku	Bydžovská, Hana Géryk, Jan Popelínský, Lubomír Bayer, Jaroslav Obšívač, Tomáš
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	Masarykova univerzita / Fakulta informatiky
http://linked.open...dnocenehoVysledku	203975
http://linked.open...ai/riv/idVysledku	RIV/00216224:14330/11:00053570
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Data Mining; Weka; Pajek; Social Network Analysis (en)
http://linked.open.../riv/klicoveSlovo	Data Mining Pajek Social Network Analysis Weka
http://linked.open...ontrolniKodProRIV	[9AB753F5FF9E]
http://linked.open...v/mistoKonaniAkce	Lednice
http://linked.open...i/riv/mistoVydani	Brno
http://linked.open...i/riv/nazevZdroje	Memics 2011 - Seventh Doctoral Workshop on Mathematical and Engeneering Methods in Computer Science
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...vavai/riv/projekt	Czech Republic membership in the European Research Consortium for Informatics and Mathematics (ERCIM)
http://linked.open...UplatneniVysledku	2011
http://linked.open...iv/tvurceVysledku	Bayer, Jaroslav Bydžovská, Hana Géryk, Jan Popelínský, Lubomír Obšívač, Tomáš
http://linked.open...vavai/riv/typAkce	CST - Celostátní
http://linked.open.../riv/zahajeniAkce	2011-01-01 (xsd:date)
number of pages	8 (xsd:int)
http://purl.org/ne...btex#hasPublisher	Vysoké učení technické v Brně
https://schema.org/isbn	978-80-214-4305-1
http://localhost/t...ganizacniJednotka	14330
is http://linked.open...avai/riv/vysledek of	Improving the Classification of Study-related Data through Social Network Analysis Improving the Classification of Study-related Data through Social Network Analysis

Faceted Search & Find service v1.16.118 as of Jun 21 2024

Alternative Linked Data Documents: ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 07.20.3240 as of Jun 21 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 112 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software