Mining categories for emails via clustering and pattern discovery (Articolo in rivista)

Type

• Articolo in rivista (Classe)
• Prodotto della ricerca (Classe)

Label

• Mining categories for emails via clustering and pattern discovery (Articolo in rivista) (literal)

Anno

• 2008-01-01T00:00:00+01:00 (literal)

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

• 10.1007/s10844-006-0024-x (literal)

Alternative label

• Manco Giuseppe, Masciari Elio, Tagarelli Andrea (2008)
  Mining categories for emails via clustering and pattern discovery
  in Journal of intelligent information systems
  (literal)

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

• Manco Giuseppe, Masciari Elio, Tagarelli Andrea (literal)

Pagina inizio

• 153 (literal)

Pagina fine

• 181 (literal)

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

• 30 (literal)

Rivista

• Journal of intelligent information systems (Rivista)

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

• 28 (literal)

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

• 2 (literal)

Note

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

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

• ICAR-CNR; ICAR-CNR; DEIS, University of Calabria (literal)

Titolo

• Mining categories for emails via clustering and pattern discovery (literal)

Abstract

• The continuous exchange of information by means of the popular email service has raised the problem of managing the huge amounts of messages received from users in an effective and efficient way. We deal with the problem of email classification by conceiving suitable strategies for: (1) organizing messages into homogeneous groups, (2) redirecting further incoming messages according to an initial organization, and (3) building reliable descriptions of the message groups discovered. We propose a unified framework for handling and classifying email messages. In our framework, messages sharing similar features are clustered in a folder organization. Clustering and pattern discovery techniques for mining structured and unstructured information from email messages are the basis of an overall process of folder creation/maintenance and email redirection. Pattern discovery is also exploited for generating suitable cluster descriptions that play a leading role in cluster updating. Experimental evaluation performed on several personal mailboxes shows the effectiveness of our approach. (literal)

Prodotto di

• Institute for high performance computing and networking (ICAR) (Istituto)
• Analisi dei Dati per il supporto alla Sicurezza (INT.P01.010.001) (Modulo)
• Gestire, Estrarre Conoscenza e Ragionare sui Dati (ICT.P08.002.001) (Modulo)

Autore CNR

• GIUSEPPE MANCO (Unità di personale interno)
• ELIO MASCIARI (Persona)

Incoming links:

Prodotto

• Institute for high performance computing and networking (ICAR) (Istituto)
• Gestire, Estrarre Conoscenza e Ragionare sui Dati (ICT.P08.002.001) (Modulo)
• Analisi dei Dati per il supporto alla Sicurezza (INT.P01.010.001) (Modulo)

Autore CNR di

• ELIO MASCIARI (Persona)
• GIUSEPPE MANCO (Unità di personale interno)

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

• Journal of intelligent information systems (Rivista)