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https://hdl.handle.net/10216/74396| Author(s): | Nuno A. Fonseca Fernando Silva Rui Camacho |
| Title: | Strategies to parallelize ILP systems |
| Issue Date: | 2005 |
| Abstract: | It is well known by Inductive Logic Programming (ILP) practioners that ILP systems usually take a long time to nd valuable models (theories). The problem is specially critical for large datasets, preventing ILP systems to scale up to larger applications. One approach to reduce the execution time has been the parallelization of ILP systems. In this paper we overview the state-of-the-art on parallel ILP implementations and present work on the evaluation of some major parallelization strategies for ILP. Conclusions about the applicability of each strategy are presented. |
| Subject: | Engenharia de computadores, Engenharia electrotécnica, electrónica e informática Computer engineering, Electrical engineering, Electronic engineering, Information engineering |
| Scientific areas: | Ciências da engenharia e tecnologias::Engenharia electrotécnica, electrónica e informática Engineering and technology::Electrical engineering, Electronic engineering, Information engineering |
| URI: | https://hdl.handle.net/10216/74396 |
| Source: | 15th International Conference on Inductive Logic Programming (ILP 2005) |
| Document Type: | Artigo em Livro de Atas de Conferência Internacional |
| Rights: | openAccess |
| License: | https://creativecommons.org/licenses/by-nc/4.0/ |
| Appears in Collections: | FEUP - Artigo em Livro de Atas de Conferência Internacional |
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| File | Description | Size | Format | |
|---|---|---|---|---|
| 70777.pdf | Strategies to parallelize ILP systems | 174.27 kB | Adobe PDF |  View/Open |
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