A latent semantic approach to XML clustering by content and structure based on non-negative matrix factorization (Contributo in atti di convegno)

Type

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

Label

• A latent semantic approach to XML clustering by content and structure based on non-negative matrix factorization (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/ICMLA.2013.38 (literal)

Alternative label

• Costa, Gianni; Ortale, Riccardo (2013)
  A latent semantic approach to XML clustering by content and structure based on non-negative matrix factorization
  in International Conference on Machine Learning and Applications (ICMLA)
  (literal)

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

• Costa, Gianni; Ortale, Riccardo (literal)

Pagina inizio

• 179 (literal)

Pagina fine

• 184 (literal)

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

• http://www.scopus.com/record/display.url?eid=2-s2.0-84899452286&origin=inward (literal)

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

• 1 (literal)

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

• 1 (literal)

Note

• Scopu (literal)

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

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

Titolo

• A latent semantic approach to XML clustering by content and structure based on non-negative matrix factorization (literal)

Abstract

• Non-negative matrix factorization is intensively used in text clustering. We investigate its exploitation in the XML domain for clustering XML documents by structure and content into topically homogeneous groups. Non-negative matrix factorization is performed through an alternating least squares method, which incorporates expedients to attenuate the burden of large-scale factorizations. This is especially relevant when massive text-centric XML corpora are processed. Empirical evidence from a comparative evaluation on real-world XML corpora reveals that our approach overcomes several state-of-the-art competitors in effectiveness. © 2013 IEEE. (literal)

Prodotto di

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

Autore CNR

• GIOVANNI COSTA (Persona)
• RICCARDO ORTALE (Persona)

Incoming links:

Prodotto

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

Autore CNR di

• RICCARDO ORTALE (Persona)
• GIOVANNI COSTA (Persona)