Relational Subgroup Discovery through First-order Feature Construction

Result code in 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>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Relational Subgroup Discovery through First-order Feature Construction

Original language description

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.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

JC - Computer hardware and software

OECD FORD branch

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Project

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Continuities

Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

2001

Confidentiality

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

Article name in the collection

Inductive Logic Programming

ISBN

3-540-42538-1

ISSN

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e-ISSN

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Number of pages

17

Pages from-to

149-165

Publisher name

Springer

Place of publication

Berlin

Event location

Strasbourg

Event date

Sep 9, 2001

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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