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Abstract: One of the defining challenges for the KDD (Knowledge Discovery in Databases) research community is to enable inductive learning algorithms to mine very large data bases. We discuss various issues related to scaling up and provide an overview of the various methods to scale up data mining. Specifically, we discuss sampling as an efficient, simple and robust technique to scale up data mining. We also discuss on estimating the minimum sample size required for the data mining algorithm, and the... (Update)
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BibTeX entry: (Update)
@misc{ addala-sampling,
author = "Raju Addala",
title = "Sampling: An efficient, simple and robust technique for scaling up data
mining",
url = "citeseer.ist.psu.edu/394238.html" }
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Documents on the same site (http://www.qucis.queensu.ca/home/addala/publish.html):
Using Data Mining for Crop Genebank Management - Addala, al. (Correct)
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