Parallelisation of C4.5 as a Particular Divide and Conquer Computation
In 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...
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| creator | Becuzzi, Primo Coppola, Massimo Ruggieri, Salvatore Vanneschi, Marco |
| description | In 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. |
| doi_str_mv | 10.1007/3-540-45591-4_50 |
| format | Book Chapter |
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| fulltext | fulltext |
| identifier | ISSN: 0302-9743 |
| ispartof | Lecture notes in computer science, 2000, Vol.1800, p.382-389 |
| issn | 0302-9743 1611-3349 |
| language | eng |
| recordid | cdi_pascalfrancis_primary_1375901 |
| source | Springer Books |
| subjects | Applied sciences Categorical Attribute Computer science control theory systems Data Ining Exact sciences and technology Information systems. Data bases Memory organisation. Data processing Parallel Architecture Shared Object Software Task Parallelism |
| title | Parallelisation of C4.5 as a Particular Divide and Conquer Computation |
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