Anatomy of a Propositionalization Algorithm

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21240%2F16%3A00241012" target="_blank" >RIV/68407700:21240/16:00241012 - 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

Anatomy of a Propositionalization Algorithm

Popis výsledku v původním jazyce

Propositionalization algorithms transform relational data into a form of a single table with features, which can be used for classifi- cation or regression with conventional machine learning tools. This literature review proposes a decomposition of a propositionalization algorithm into 7 well defined building blocks. The decomposition is applied to 15 algorithms taken from literature. All of the ex- amined algorithms fit the proposed decomposition framework. The framework can be used to build a library of propositionalization algorithms without writing redundant, to develop new algorithms or simple as a mean of understanding differences between different implementations of propositionalization algorithms.

Název v anglickém jazyce

Anatomy of a Propositionalization Algorithm

Popis výsledku anglicky

Propositionalization algorithms transform relational data into a form of a single table with features, which can be used for classifi- cation or regression with conventional machine learning tools. This literature review proposes a decomposition of a propositionalization algorithm into 7 well defined building blocks. The decomposition is applied to 15 algorithms taken from literature. All of the ex- amined algorithms fit the proposed decomposition framework. The framework can be used to build a library of propositionalization algorithms without writing redundant, to develop new algorithms or simple as a mean of understanding differences between different implementations of propositionalization algorithms.

Druh

O - Ostatní výsledky

CEP obor

JC - Počítačový hardware a software

OECD FORD obor

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Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2016

Kód důvěrnosti údajů

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