PUMA
Istituto di Scienza e Tecnologie dell'Informazione     
Baraglia R., Laforenza D., Orlando S., Palmerini P., Perego R. Design of efficient input/output intensive data mining applications. ERCIM NEWS, N. 44, January 2001, pp. 57-58. Internal note CNUCE-B4-01-039, 2001.
 
 
Abstract
(English)
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
Subject Data Mining
H.2.8 Database management. Database applications


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