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Increasing Efficiency of Data Mining Systems by Machine Unification and Double Machine Cache

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Artificial Intelligence and Soft Computing (ICAISC 2010)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6113))

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Abstract

In advanced meta-learning algorithms and in general data mining systems, we need to search through huge spaces of machine learning algorithms. Meta-learning and other complex data mining approaches need to train and test thousands of learning machines while searching for the best solution (model), which often is quite complex. To facilitate working with projects of any scale, we propose intelligent mechanism of machine unification and cooperating mechanism of machine cache. Data mining system equipped with the mechanisms can deal with projects many times bigger than systems devoid of machine unification and cache. Presented solutions also reduce computational time needed for learning and save memory.

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© 2010 Springer-Verlag Berlin Heidelberg

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Jankowski, N., Grąbczewski, K. (2010). Increasing Efficiency of Data Mining Systems by Machine Unification and Double Machine Cache. In: Rutkowski, L., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds) Artificial Intelligence and Soft Computing. ICAISC 2010. Lecture Notes in Computer Science(), vol 6113. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13208-7_48

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  • DOI: https://doi.org/10.1007/978-3-642-13208-7_48

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-13207-0

  • Online ISBN: 978-3-642-13208-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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