Extraction of Classification Rules from Sequences of Crystal Growth Data

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F20%3A00533904" target="_blank" >RIV/67985807:_____/20:00533904 - isvavai.cz</a>

Výsledek na webu

<a href="http://ceur-ws.org/Vol-2718/paper02.pdf" target="_blank" >http://ceur-ws.org/Vol-2718/paper02.pdf</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Extraction of Classification Rules from Sequences of Crystal Growth Data

Popis výsledku v původním jazyce

The paper presents a generalization of a data mining method for the extraction of classification rules for classification of sequences of events, which is called discriminant chronicles mining. The generalization is motivated by the objective to extract classification rules from crystal growth data, for which the original method needs to be extended to events with vectors of attributes and to real-valued attributes. The paper elaborates incorporating both extensions into the theoretical fundamentals of the original method, and describes a corresponding modification of a system for discriminant chronicles mining, which has been developed three years ago to implement the original method. Finally, an application of the generalized method, using the modified system for discriminant chronicles mining, to data from the growth of GaAs crystals by vertical gradient freeze method is briefly sketched.n

Název v anglickém jazyce

Extraction of Classification Rules from Sequences of Crystal Growth Data

Popis výsledku anglicky

The paper presents a generalization of a data mining method for the extraction of classification rules for classification of sequences of events, which is called discriminant chronicles mining. The generalization is motivated by the objective to extract classification rules from crystal growth data, for which the original method needs to be extended to events with vectors of attributes and to real-valued attributes. The paper elaborates incorporating both extensions into the theoretical fundamentals of the original method, and describes a corresponding modification of a system for discriminant chronicles mining, which has been developed three years ago to implement the original method. Finally, an application of the generalized method, using the modified system for discriminant chronicles mining, to data from the growth of GaAs crystals by vertical gradient freeze method is briefly sketched.n

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

<a href="/cs/project/GA18-18080S" target="_blank" >GA18-18080S: Objevování znalostí v datech o aktivitě člověka založené na fúzi</a><br>

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2020

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proceedings of the 20th Conference Information Technologies - Applications and Theory

ISBN

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ISSN

1613-0073

e-ISSN

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Počet stran výsledku

7

Strana od-do

101-107

Název nakladatele

Technical University & CreateSpace Independent Publishing

Místo vydání

Aachen

Místo konání akce

Oravská Lesná

Datum konání akce

18. 9. 2020

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

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