969 search results - page 18 / 194 » Clustering performance data efficiently at massive scales |
167
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CORR
2010
Springer
15 years 6 months ago
2010
Springer
Very large databases are required to store massive amounts of data that are continuously inserted and queried. Analyzing huge data sets and extracting valuable pattern in many appl...
166
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EWSN
2008
Springer
16 years 5 months ago
2008
Springer
Clustering is an important mechanism in large multi-hop wireless sensor networks for obtaining scalability, reducing energy consumption and achieving better network performance. Mo...
190
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PAISI
2010
Springer
15 years 3 months ago
2010
Springer
Abstract. This paper introduces an efficient privacy-preserving protocol for distributed K-means clustering over an arbitrary partitioned data, shared among N parties. Clustering i...
159
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ANTSW
2004
Springer
15 years 11 months ago
2004
Springer
To anticipate and prevent acts of terrorism, Indications and Warnings analysts try to connect clues gleaned from massive quantities of complex data. Multi-agent approaches to suppo...
177
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ACL
2008
15 years 7 months ago
2008
In statistical language modeling, one technique to reduce the problematic effects of data sparsity is to partition the vocabulary into equivalence classes. In this paper we invest...