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124
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ICML
2010
IEEE
15 years 4 months ago
The Translation-invariant Wishart-Dirichlet Process for Clustering Distance Data
We present a probabilistic model for clustering of objects represented via pairwise dissimilarities. We propose that even if an underlying vectorial representation exists, it is b...
Julia E. Vogt, Sandhya Prabhakaran, Thomas J. Fuch...
154
Voted
CORR
2008
Springer
132views Education» more  CORR 2008»
15 years 3 months ago
Materialized View Selection by Query Clustering in XML Data Warehouses
XML data warehouses form an interesting basis for decision-support applications that exploit complex data. However, native XML database management systems currently bear limited p...
Hadj Mahboubi, Kamel Aouiche, Jérôme ...
143
Voted
EUROPAR
2005
Springer
15 years 9 months ago
PerfMiner: Cluster-Wide Collection, Storage and Presentation of Application Level Hardware Performance Data
Abstract. We present PerfMiner, a system for the transparent collection, storage and presentation of thread-level hardware performance data across an entire cluster. Every sub-proc...
Philip Mucci, Daniel Ahlin, Johan Danielsson, Per ...
172
Voted
IJCAI
2001
15 years 5 months ago
Probabilistic Classification and Clustering in Relational Data
Supervised and unsupervised learning methods have traditionally focused on data consisting of independent instances of a single type. However, many real-world domains are best des...
Benjamin Taskar, Eran Segal, Daphne Koller
126
Voted
SIGCSE
2008
ACM
211views Education» more  SIGCSE 2008»
15 years 3 months ago
Cluster computing for web-scale data processing
In this paper we present the design of a modern course in cluster computing and large-scale data processing. The defining differences between this and previously published designs...
Aaron Kimball, Sierra Michels-Slettvet, Christophe...