Learning different concept hierarchies and the relations between them from classified data

Benites, Fernando; Sapozhnikova, Elena

Learning different concept hierarchies and the relations between them from classified data

Dateien

Zu diesem Dokument gibt es keine Dateien.

Datum

2012

Projekt

DAMIART

Sammlungen

Informatik und Informationswissenschaft

Publikationstyp

Beitrag zu einem Sammelband

Publikationsstatus

Published

Erschienen in

MAGDALENA-BENEDITO, Rafael, ed. and others. Intelligent data analysis for real-life applications : theory and practice. Hershey, PA: Information Science Reference, 2012, pp. 18-34. ISBN 978-1-4666-1806-0. Available under: doi: 10.4018/978-1-4666-1806-0.ch002

Zusammenfassung

Methods for the automatic extraction of taxonomies and concept hierarchies from data have recently emerged as essential assistance for humans in ontology construction. The objective of this chapter is to show how the extraction of concept hierarchies and finding relations between them can be effectively coupled with a multi-label classification task. The authors introduce a data mining system which performs classification and addresses both issues by means of association rule mining. The proposed system has been tested on two real-world datasets with the class labels of each dataset coming from two different class hierarchies. Several experiments on hierarchy extraction and concept relation were conducted in order to evaluate the system and three different interestingness measures were applied, to select the most important relations between concepts. One of the measures was developed by the authors. The experimental results showed that the system is able to infer quite accurate concept hierarchies and associations among the concepts. It is therefore well suited for classification-based reasoning.

Fachgebiet (DDC)

004 Informatik

Schlagwörter

association rule mining, data mining

Zitieren

ISO 690

BENITES, Fernando, Elena SAPOZHNIKOVA, 2012. Learning different concept hierarchies and the relations between them from classified data. In: MAGDALENA-BENEDITO, Rafael, ed. and others. Intelligent data analysis for real-life applications : theory and practice. Hershey, PA: Information Science Reference, 2012, pp. 18-34. ISBN 978-1-4666-1806-0. Available under: doi: 10.4018/978-1-4666-1806-0.ch002

BibTex

@incollection{Benites2012Learn-21455,
  year={2012},
  doi={10.4018/978-1-4666-1806-0.ch002},
  title={Learning different concept hierarchies and the relations between them from classified data},
  isbn={978-1-4666-1806-0},
  publisher={Information Science Reference},
  address={Hershey, PA},
  booktitle={Intelligent data analysis for real-life applications : theory and practice},
  pages={18--34},
  editor={Magdalena-Benedito, Rafael},
  author={Benites, Fernando and Sapozhnikova, Elena}
}

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Universitätsbibliographie

Ja