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» Distributed Data Clustering Can Be Efficient and Exact
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INDIASE
2009
ACM
16 years 1 months ago
Computing dynamic clusters
When trying to reverse engineer software, execution trace analysis is increasingly used. Though, by using this technique we are quickly faced with an enormous amount of data that ...
Philippe Dugerdil, Sebastien Jossi
AUSDM
2006
Springer
112views Data Mining» more  AUSDM 2006»
15 years 10 months ago
Accuracy Estimation With Clustered Dataset
If the dataset available to machine learning results from cluster sampling (e.g. patients from a sample of hospital wards), the usual cross-validation error rate estimate can lead...
Ricco Rakotomalala, Jean-Hugues Chauchat, Fran&cce...
SIGMOD
2007
ACM
167views Database» more  SIGMOD 2007»
16 years 6 months ago
Data currency in replicated DHTs
Distributed Hash Tables (DHTs) provide a scalable solution for data sharing in P2P systems. To ensure high data availability, DHTs typically rely on data replication, yet without ...
Reza Akbarinia, Esther Pacitti, Patrick Valduriez
ICPP
2006
IEEE
16 years 20 days ago
Data Transfers between Processes in an SMP System: Performance Study and Application to MPI
— This paper focuses on the transfer of large data in SMP systems. Achieving good performance for intranode communication is critical for developing an efficient communication s...
Darius Buntinas, Guillaume Mercier, William Gropp
JCST
2008
124views more  JCST 2008»
15 years 6 months ago
Clustering by Pattern Similarity
The task of clustering is to identify classes of similar objects among a set of objects. The definition of similarity varies from one clustering model to another. However, in most ...
Haixun Wang, Jian Pei