Relational Subgroup Discovery through First-order Feature Construction

Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F01%3A03085198" target="_blank" >RIV/68407700:21230/01:03085198 - isvavai.cz</a>
Výsledek na webu
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DOI - Digital Object Identifier
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Jazyk výsledku
angličtina
Název v původním jazyce
Relational Subgroup Discovery through First-order Feature Construction
Popis výsledku v původním jazyce
Rational rule learning is typically used in solving classification and prediction tasks. However, relational rule learning can be adapted also to subgroup discovery. This paper proposes a propositionalization approach to relational subgroup discovery, achieved throught appropriately adapting rule learning and first-order feature construction. The proposed approach, applicable to subgroup discovery in individualcentered domains, was successfully applied to two standard ILP problems (East-West trains andKRK) and real-life telecommunications application.
Název v anglickém jazyce
Relational Subgroup Discovery through First-order Feature Construction
Popis výsledku anglicky
Rational rule learning is typically used in solving classification and prediction tasks. However, relational rule learning can be adapted also to subgroup discovery. This paper proposes a propositionalization approach to relational subgroup discovery, achieved throught appropriately adapting rule learning and first-order feature construction. The proposed approach, applicable to subgroup discovery in individualcentered domains, was successfully applied to two standard ILP problems (East-West trains andKRK) and real-life telecommunications application.

Rok uplatnění
2001
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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