Approaches to Propositionalization: State of the Art Review

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F04%3A00106281" target="_blank" >RIV/68407700:21230/04:00106281 - 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

Approaches to Propositionalization: State of the Art Review

Popis výsledku v původním jazyce

Systems aiming at discovering interesting knowledge in data, now commonly called data mining systems, are typically employed in finding patterns in a single relational table. Most of mainstream data mining tools are not applicable in the more challengingtask of finding knowledge in structured data represented by a multi-relational database. Although a family of methods known as inductive logic programming have been developed to tackle that challenge by immediate means, the idea of adapting structured data into a simpler form digestible by the wealth of AVL systems tempting to data miners. This kind of conversion is also known as most influential propositionalization. Here we provide a review of the most influential propositionalization approaches andsystems, and conduct a mutual performance comparison among a subsets of these systems.

Název v anglickém jazyce

Approaches to Propositionalization: State of the Art Review

Popis výsledku anglicky

Systems aiming at discovering interesting knowledge in data, now commonly called data mining systems, are typically employed in finding patterns in a single relational table. Most of mainstream data mining tools are not applicable in the more challengingtask of finding knowledge in structured data represented by a multi-relational database. Although a family of methods known as inductive logic programming have been developed to tackle that challenge by immediate means, the idea of adapting structured data into a simpler form digestible by the wealth of AVL systems tempting to data miners. This kind of conversion is also known as most influential propositionalization. Here we provide a review of the most influential propositionalization approaches andsystems, and conduct a mutual performance comparison among a subsets of these systems.

Druh

O - Ostatní výsledky

CEP obor

JC - Počítačový hardware a software

OECD FORD obor

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Projekt

<a href="/cs/project/1K04108" target="_blank" >1K04108: Výzkum a implementace metod efektivní propozicionalizace databází</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2004

Kód důvěrnosti údajů

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