Distributed Data Mining vs. Sampling Techniques: A Comparison

Abstract

To address the of mining a huge volume of geographically distributed databases, we propose two approaches. The first one is to download only a sample of each database. The second option is to mine each distributed database remotely and to download the resulting models to a central site and then aggregate these models. In this paper, we present an overview… (More)
DOI: 10.1007/978-3-540-24840-8_37

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