The goal of Data Mining is to discover knowledge hidden in data repositories. This activity has recently attracted a lot of attention. Because of the huge datasets to be accessed, most data mining algorithms must consider the I/O actions carefully, hiding or minimizing their effects. At CNUCE-CNR we are studying how the architectural features of modern high performance computers and operating systems can be exploited wwhen designing efficient data mining algorithms that can cope with huge datasets
Design of efficient Input/output intensive data mining applications
Baraglia R;Laforenza D;Orlando S;Palmerini P;Perego R
2001
Abstract
The goal of Data Mining is to discover knowledge hidden in data repositories. This activity has recently attracted a lot of attention. Because of the huge datasets to be accessed, most data mining algorithms must consider the I/O actions carefully, hiding or minimizing their effects. At CNUCE-CNR we are studying how the architectural features of modern high performance computers and operating systems can be exploited wwhen designing efficient data mining algorithms that can cope with huge datasetsFile in questo prodotto:
File | Dimensione | Formato | |
---|---|---|---|
prod_160464-doc_141220.pdf
accesso aperto
Descrizione: Design of efficient Input/output intensive data mining applications
Dimensione
36.54 kB
Formato
Adobe PDF
|
36.54 kB | Adobe PDF | Visualizza/Apri |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.