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Abstract: While data mining algorithms invariably operate on centralized data, in practice related information is often acquired and stored at geographically distributed locations due to organizational or operational constraints. Centralization of such data before analysis may not be desirable because of computational or bandwidth costs. In some cases, it may not even be possible due to variety of real-life constraints including security, privacy, proprietary nature of data/software and the accompanying... (Update)
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BibTeX entry: (Update)
@misc{ ghosh-distributed,
author = "Joydeep Ghosh and Srujana Merugu",
title = "Distributed Clustering with Limited Knowledge Sharing",
url = "citeseer.ist.psu.edu/716258.html" }
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