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

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F05%3A00207415" target="_blank" >RIV/00216208:11320/05:00207415 - 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

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

Original language description

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

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

2005

Confidentiality

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

Article name in the collection

EMERGING SOLUTIONS FOR FUTURE MANUFACTURING SYSTEMS

ISBN

0-387-22828-4

ISSN

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e-ISSN

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Number of pages

8

Pages from-to

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Publisher name

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Place of publication

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Event location

Neuveden

Event date

Jan 1, 2005

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

000225292900048