Developments in partitioning XML documents by content and structure based on combining multiple clusterings (Contributo in atti di convegno)

Type

• Contributo in atti di convegno (Classe)
• Prodotto della ricerca (Classe)

Label

• Developments in partitioning XML documents by content and structure based on combining multiple clusterings (Contributo in atti di convegno) (literal)

Anno

• 2013-01-01T00:00:00+01:00 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi

• 10.1109/ICTAI.2013.77 (literal)

Alternative label

• Costa, Gianni; Ortale, Riccardo (2013)
  Developments in partitioning XML documents by content and structure based on combining multiple clusterings
  in International Conference on Tools with Artificial Intelligence (ICTAI)
  (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori

• Costa, Gianni; Ortale, Riccardo (literal)

Pagina inizio

• 477 (literal)

Pagina fine

• 482 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url

• http://www.scopus.com/record/display.url?eid=2-s2.0-84897735425&origin=inward (literal)

Rivista

• Proceedings - International Conference on Tools with Artificial Intelligence, TAI (Rivista)

Note

• Scopu (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni

• Istituto Di Calcolo E Reti Ad Alte Prestazioni, Rende (literal)

Titolo

• Developments in partitioning XML documents by content and structure based on combining multiple clusterings (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn

• 9781479929719 (literal)

Abstract

• The combination of multiple clusterings for partitioning XML documents is proposed as a promising method, aimed to decompose the inherently difficult problem of catching structural and content relationships within an XML corpus into a number of simpler subproblems. To verify the validity of such an intuition, a new technique for partitioning XML documents is presented, in which conventional clustering techniques operating on flattened representations of individual aspects of the XML documents (that also include some rare patterns) are used to partition the available XML corpus. The effectiveness of the devised technique is revealed by a comparative empirical evaluation on benchmark XML corpora. © 2013 IEEE. (literal)

Prodotto di

• Institute for high performance computing and networking (ICAR) (Istituto)

Autore CNR

• GIOVANNI COSTA (Unità di personale interno)
• RICCARDO ORTALE (Unità di personale interno)

Incoming links:

Prodotto

• Institute for high performance computing and networking (ICAR) (Istituto)

Autore CNR di

• RICCARDO ORTALE (Unità di personale interno)
• GIOVANNI COSTA (Unità di personale interno)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#rivistaDi

• Proceedings - International Conference on Tools with Artificial Intelligence, TAI (Rivista)