From Parallel Data Mining to Grid enabled Distributed Knowledge Discovery (Contributo in atti di convegno)

Type

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

Label

• From Parallel Data Mining to Grid enabled Distributed Knowledge Discovery (Contributo in atti di convegno) (literal)

Anno

• 2007-01-01T00:00:00+01:00 (literal)

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

• 10.1007/978-3-540-72530-5_3 (literal)

Alternative label

• Eugenio Cesario; Domenico Talia (2007)
  From Parallel Data Mining to Grid enabled Distributed Knowledge Discovery
  in 11th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing, RSFDGrC, Toronto, 14-16 Maggio 2007
  (literal)

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

• Eugenio Cesario; Domenico Talia (literal)

Pagina inizio

• 25 (literal)

Pagina fine

• 36 (literal)

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

• http://www.springerlink.com/content/3731331q76886698/ (literal)

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

• 4482 (literal)

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

• 12 (literal)

Note

• DBLP (literal)
• Google Scholar (literal)
• Scopu (literal)
• ISI Web of Science (WOS) (literal)

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

• Istituto di calcolo e reti ad alte prestazioni; Istituto di calcolo e reti ad alte prestazioni (literal)

Titolo

• From Parallel Data Mining to Grid enabled Distributed Knowledge Discovery (literal)

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

• 978-3-540-72529-9 (literal)

Abstract

• Data mining often is a compute intensive and time requiring process. For this reason, several data mining systems have been implemented on parallel computing platforms to achieve high performance in the analysis of large data sets. Moreover, when large data repositories are coupled with geographical distribution of data, users and systems, more sophisticated technologies are needed to implement high-performance distributed KDD systems. Recently computational Grids emerged as privileged platforms for distributed computing and a growing number of Grid-based KDD systems have been designed. In this paper we first outline different ways to exploit parallelism in the main data mining techniques and algorithms, then we discuss Grid-based KDD systems. (literal)

Prodotto di

• Institute for high performance computing and networking (ICAR) (Istituto)
• Sistemi distribuiti e pervasivi intelligenti (ICT.P09.001.001) (Modulo)

Autore CNR

• EUGENIO CESARIO (Unità di personale interno)
• DOMENICO TALIA (Persona)

Insieme di parole chiave

• Keywords of "From Parallel Data Mining to Grid enabled Distributed Knowledge Discovery" (Insieme di parole chiave)

Incoming links:

Prodotto

• Institute for high performance computing and networking (ICAR) (Istituto)
• Sistemi distribuiti e pervasivi intelligenti (ICT.P09.001.001) (Modulo)

Autore CNR di

• EUGENIO CESARIO (Unità di personale interno)
• DOMENICO TALIA (Persona)

Insieme di parole chiave di

• Keywords of "From Parallel Data Mining to Grid enabled Distributed Knowledge Discovery" (Insieme di parole chiave)