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 datasets
2001
Istituto di informatica e telematica - IIT
Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI
Data Mining
Database management. Database applications
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/148821
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