Mining rules from monotone classification measuring impact of information systems on business competitiveness

Kód výsledku v IS VaVaI

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Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Mining rules from monotone classification measuring impact of information systems on business competitiveness

Popis výsledku v původním jazyce

Motivation for this paper are classification problems in which data can not be clearly divided into positive and negative examples, especially data in which there is a monotone hierarchy (degree, preference) of more or less positive (negative) examples.We use data expressing the impact of information systems on business competitiveness in a graded way. The research was conducted on a sample of over 200 Slovak companies. Competitiveness is estimated by Porter?s model. The induction is achieved via multiple use of two valued induction on alphacuts of graded examples with monotonicity axioms in background knowledge. We present results of ILP system ALEPH on above data interpreted as annotated rules. We comment on relations of our results to some statistical models

Název v anglickém jazyce

Mining rules from monotone classification measuring impact of information systems on business competitiveness

Popis výsledku anglicky

Motivation for this paper are classification problems in which data can not be clearly divided into positive and negative examples, especially data in which there is a monotone hierarchy (degree, preference) of more or less positive (negative) examples.We use data expressing the impact of information systems on business competitiveness in a graded way. The research was conducted on a sample of over 200 Slovak companies. Competitiveness is estimated by Porter?s model. The induction is achieved via multiple use of two valued induction on alphacuts of graded examples with monotonicity axioms in background knowledge. We present results of ILP system ALEPH on above data interpreted as annotated rules. We comment on relations of our results to some statistical models

Druh

D - Stať ve sborníku

CEP obor

JC - Počítačový hardware a software

OECD FORD obor

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Projekt

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Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2005

Kód důvěrnosti údajů

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

Název statě ve sborníku

EMERGING SOLUTIONS FOR FUTURE MANUFACTURING SYSTEMS

ISBN

0-387-22828-4

ISSN

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e-ISSN

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Počet stran výsledku

8

Strana od-do

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Název nakladatele

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Místo vydání

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Místo konání akce

Neuveden

Datum konání akce

1. 1. 2005

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000225292900048