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Abstract: This paper describes the DAFS data mining file server. Current data mining tools often suffer from limited functionality and poor cost performance on data sets greater than 1 GByte. This has led to an increased interest in solutions which exploit parallel hardware. However, systems based on parallel technology have explored the parallelisation of their artificial intelligence components in isolation from the database component. This conflicts with the well established fact that at least 80% of... (Update)
Context of citations to this paper: More
...in spatial and advanced database systems. This type of index needs to be available if database mining algorithms are to be successful [6]. Extracting meaningful models from very large sets of data is a complex, and time consuming task. Most conventional artificial...
.... has less control over parallelization (b) overhead of the DBMS kernel Parallel rule induction with DBMS facilities DAFS project [McLaren et al. 97] parallel database server designed to support the overal knowledge discovery process. Client: Clementine data mining tool Server:...
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BibTeX entry: (Update)
I. McLaren, E. Babb and J. Bocca. DAFS: Supporting the knowledge discovery process. In: Proceedings of First International Conference on Practical Applications of Knowledge Discovery and Data Mining, London, UK, April 1997. http://citeseer.ist.psu.edu/mclaren97dafs.html More
@inproceedings{ mclaren97dafs,
author = "Iain McLaren and Edward Babb and Jorge B. Bocca",
title = "{DAFS}: Data Mining File Server",
booktitle = "{RIDE}",
pages = "0-",
year = "1997",
url = "citeseer.ist.psu.edu/mclaren97dafs.html" }
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