DATA SCALING BY DIFFERENTIAL EVOLUTION FOR FCA OVER DATA FROM LMS eLOGIKA
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F17%3A10235977" target="_blank" >RIV/61989100:27240/17:10235977 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
DATA SCALING BY DIFFERENTIAL EVOLUTION FOR FCA OVER DATA FROM LMS eLOGIKA
Original language description
The e-learning system eLogika serves for teaching logic. The system collects data about users who are logged in, e.g. time spent on a particular activity, the number of activities performed by particular students, what data is a student interested in, etc. The goal of this paper is to describe the application of many-valued formal concept analysis (FCA) in order to discover typical patterns of students behavior. Since the data stored in the eLogika system are numerical we need to categorize them in order to be used in the many-valued FCA method. In the paper we describe a way of data categorization by di erential evolution that proved to be applicable in the FCA method with promising results.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/GA15-13277S" target="_blank" >GA15-13277S: Hyperintensional logic for natural language analysis</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Mendel 2017 : 23rd international conference on soft computing : June 20-22, 2017, Brno, Czech Republic
ISBN
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ISSN
1803-3814
e-ISSN
neuvedeno
Number of pages
6
Pages from-to
15-20
Publisher name
Brno University of Technology
Place of publication
Brno
Event location
Brno
Event date
Jun 20, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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