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OSDI
2004
ACM
16 years 3 months ago
MapReduce: Simplified Data Processing on Large Clusters
MapReduce is a programming model and an associated implementation for processing and generating large data sets. Users specify a map function that processes a key/value pair to ge...
Jeffrey Dean, Sanjay Ghemawat
100
Voted
IPPS
2006
IEEE
15 years 9 months ago
Compiler and runtime support for predictive control of power and cooling
The low cost of clusters built using commodity components has made it possible for many more users to purchase their own supercomputer. However, even modest-sized clusters make si...
Henry G. Dietz, William R. Dieter
BIBE
2003
IEEE
116views Bioinformatics» more  BIBE 2003»
15 years 8 months ago
An Assessment of a Metric Space Database Index to Support Sequence Homology
Hierarchical metric-space clustering methods have been commonly used to organize proteomes into taxonomies. Consequently, it is often anticipated that hierarchical clustering can ...
Rui Mao, Weijia Xu, Neha Singh, Daniel P. Miranker
135
Voted
CICLING
2009
Springer
16 years 3 months ago
Semantic Clustering for a Functional Text Classification Task
Abstract. We describe a semantic clustering method designed to address shortcomings in the common bag-of-words document representation for functional semantic classification tasks....
Thomas Lippincott, Rebecca J. Passonneau
RIAO
2007
15 years 4 months ago
Comprehensible and Accurate Cluster Labels in Text Clustering
The purpose of text clustering in information retrieval is to discover groups of semantically related documents. Accurate and comprehensible cluster descriptions (labels) let the ...
Jerzy Stefanowski, Dawid Weiss