Database systems methodologies and technology can provide a significant support to data mining processes. In this chapter we explore approaches which address the integration between data mining activities and DBMSs from different perspectives. More specifically, we focus on (i) specialised query languages which allow to define complex data mining tasks through the submission of query requests, and (ii) indices, i.e., physical data structures designed to improve the performance of mining algorithms.
Data Mining in Databases: Languages and Indices
Rosa Meo
2018-01-01
Abstract
Database systems methodologies and technology can provide a significant support to data mining processes. In this chapter we explore approaches which address the integration between data mining activities and DBMSs from different perspectives. More specifically, we focus on (i) specialised query languages which allow to define complex data mining tasks through the submission of query requests, and (ii) indices, i.e., physical data structures designed to improve the performance of mining algorithms.File in questo prodotto:
File | Dimensione | Formato | |
---|---|---|---|
Cap-from-SEBD-17-Book.pdf
Open Access dal 01/07/2019
Descrizione: Capitolo volume su Big data serie
Tipo di file:
PDF EDITORIALE
Dimensione
117.68 kB
Formato
Adobe PDF
|
117.68 kB | Adobe PDF | Visualizza/Apri |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.