n this work we show the research track and the current results about the application of structured parallel programming tools to develop scalable data-mining applications. We discuss the exploitation of the divide and conquer nature of the well known C4.5 classification algorithm in spite of its in-core memory requirements. The opportunity of applying external memory techniques to manage the data is advocated. Current results of the experiments are reported.

Parallelisation of C4.5 as a Particular Divide and Conquer Computation

RUGGIERI, SALVATORE;VANNESCHI, MARCO
2000

Abstract

n this work we show the research track and the current results about the application of structured parallel programming tools to develop scalable data-mining applications. We discuss the exploitation of the divide and conquer nature of the well known C4.5 classification algorithm in spite of its in-core memory requirements. The opportunity of applying external memory techniques to manage the data is advocated. Current results of the experiments are reported.
9783540674429
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11568/203336
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