This paper describes some improvements of our previous work that realizes an integrated framework for extracting constraint ­based multi­level association rules with an ontology support. The ontology is not the repository of the data, but it models the application domain describing the meta­data. Furthermore, it permits to focus the analysis only on a subset of data and to express multi­ level constraints on them. In this context, we report some theoretical notion already introduced and a detailed description of the recent improvements: the introduction of the object properties in the framework, and the implementation of an user interface.

Ontological Support For Association Rule Mining

Bellandi A;Furletti B;Grossi V;
2008

Abstract

This paper describes some improvements of our previous work that realizes an integrated framework for extracting constraint ­based multi­level association rules with an ontology support. The ontology is not the repository of the data, but it models the application domain describing the meta­data. Furthermore, it permits to focus the analysis only on a subset of data and to express multi­ level constraints on them. In this context, we report some theoretical notion already introduced and a detailed description of the recent improvements: the introduction of the object properties in the framework, and the implementation of an user interface.
Campo DC Valore Lingua
dc.authority.orgunit Istituto di linguistica computazionale "Antonio Zampolli" - ILC -
dc.authority.orgunit Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI -
dc.authority.people Bellandi A it
dc.authority.people Furletti B it
dc.authority.people Grossi V it
dc.authority.people Romei A it
dc.collection.id.s 71c7200a-7c5f-4e83-8d57-d3d2ba88f40d *
dc.collection.name 04.01 Contributo in Atti di convegno *
dc.contributor.appartenenza Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI *
dc.contributor.appartenenza Istituto di linguistica computazionale "Antonio Zampolli" - ILC *
dc.contributor.appartenenza.mi 918 *
dc.contributor.appartenenza.mi 973 *
dc.date.accessioned 2024/02/20 11:10:00 -
dc.date.available 2024/02/20 11:10:00 -
dc.date.issued 2008 -
dc.description.abstracteng This paper describes some improvements of our previous work that realizes an integrated framework for extracting constraint ­based multi­level association rules with an ontology support. The ontology is not the repository of the data, but it models the application domain describing the meta­data. Furthermore, it permits to focus the analysis only on a subset of data and to express multi­ level constraints on them. In this context, we report some theoretical notion already introduced and a detailed description of the recent improvements: the introduction of the object properties in the framework, and the implementation of an user interface. -
dc.description.affiliations Institute for Advanced studies I.M.T.; Lucca Italy, Institute for Advanced studies I.M.T. - ISTI-CNR, Pisa, Italy; Lucca Italy, Department of Computer Science ­University of Pisa, Italy - ISTI-CNR, Pisa, Italy; Department of Computer Science ­University of Pisa, Italy -
dc.description.allpeople Bellandi A.; Furletti B.; Grossi V.; Romei A. -
dc.description.allpeopleoriginal Bellandi A.; Furletti B.; Grossi V.; Romei A. -
dc.description.fulltext restricted en
dc.description.note Pubblicato da: ACTA Press/ACM -
dc.description.numberofauthors 3 -
dc.identifier.isbn 978-0-88986-710-9 -
dc.identifier.uri https://hdl.handle.net/20.500.14243/265114 -
dc.identifier.url http://dl.acm.org/citation.cfm?id=1712781 -
dc.language.iso eng -
dc.publisher.country USA -
dc.publisher.name Acta Press  -
dc.publisher.place Anaheim -
dc.relation.conferencedate 11-13 February 2008 -
dc.relation.conferencename 26th IASTED International Conference on Artificial Intelligence and Applications, 2008 -
dc.relation.conferenceplace Innsbruck, Austria -
dc.relation.firstpage 110 -
dc.relation.lastpage 115 -
dc.relation.numberofpages 6 -
dc.subject.keywords Association Rules -
dc.subject.keywords Ontology -
dc.subject.keywords Data mining -
dc.subject.singlekeyword Association Rules *
dc.subject.singlekeyword Ontology *
dc.subject.singlekeyword Data mining *
dc.title Ontological Support For Association Rule Mining en
dc.type.driver info:eu-repo/semantics/conferenceObject -
dc.type.full 04 Contributo in convegno::04.01 Contributo in Atti di convegno it
dc.type.miur 273 -
dc.type.referee Sì, ma tipo non specificato -
dc.ugov.descaux1 272220 -
iris.mediafilter.data 2025/04/20 02:52:58 *
iris.orcid.lastModifiedDate 2024/03/02 03:25:13 *
iris.orcid.lastModifiedMillisecond 1709346313403 *
iris.sitodocente.maxattempts 1 -
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