Abstract
This Chapter continues to follow the spirit of integrating data mining and parallel processing, as presented in the previous Chapter, but it goes further in that it adds DBMS facilities to the picture. The basic motivation is that most large data warehouses are already stored on parallel database servers, offering high-performance DBMS facilities (Chapter 8). Hence, it seems natural that these servers should be used to realize a cost-effective, holistic framework for parallel data mining and for the entire knowledge discovery process.
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© 2000 Springer Science+Business Media New York
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Freitas, A.A., Lavington, S.H. (2000). Parallel Data Mining with DBMS Facilities. In: Mining Very Large Databases with Parallel Processing. The Kluwer International Series on Advances in Database Systems, vol 9. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-5521-6_12
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DOI: https://doi.org/10.1007/978-1-4615-5521-6_12
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4613-7523-4
Online ISBN: 978-1-4615-5521-6
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