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» Distributed Data Clustering Can Be Efficient and Exact
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EDBT
2008
ACM
172views Database» more  EDBT 2008»
14 years 9 months ago
Distributed privacy preserving k-means clustering with additive secret sharing
Recent concerns about privacy issues motivated data mining researchers to develop methods for performing data mining while preserving the privacy of individuals. However, the curr...
Albert Levi, Erkay Savas, Mahir Can Doganay, Thoma...
ICDE
2003
IEEE
247views Database» more  ICDE 2003»
14 years 10 months ago
CLUSEQ: Efficient and Effective Sequence Clustering
Analyzing sequence data has become increasingly important recently in the area of biological sequences, text documents, web access logs, etc. In this paper, we investigate the pro...
Jiong Yang, Wei Wang 0010
LCPC
2000
Springer
14 years 16 days ago
Efficient Dynamic Local Enumeration for HPF
In translating HPF programs, a compiler has to generate local iteration and communication sets. Apart from local enumeration, local storage compression is an issue, because in HPF ...
Will Denissen, Henk J. Sips
UAI
2003
13 years 10 months ago
Learning Generative Models of Similarity Matrices
Recently, spectral clustering (a.k.a. normalized graph cut) techniques have become popular for their potential ability at finding irregularlyshaped clusters in data. The input to...
Rómer Rosales, Brendan J. Frey
CCGRID
2008
IEEE
14 years 3 months ago
Data Management Challenges of Data-Intensive Scientific Workflows
Scientific workflows play an important role in today’s science. Many disciplines rely on workflow technologies to orchestrate the execution of thousands of computational tasks. ...
Ewa Deelman, Ann L. Chervenak