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» Using Clustering and Blade Clusters in the Terabyte Task
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EMNLP
2009
14 years 7 months ago
The role of named entities in Web People Search
The ambiguity of person names in the Web has become a new area of interest for NLP researchers. This challenging problem has been formulated as the task of clustering Web search r...
Javier Artiles, Enrique Amigó, Julio Gonzal...
87
Voted
CCGRID
2010
IEEE
14 years 7 months ago
Low-Cost Tuning of Two-Step Algorithms for Scheduling Mixed-Parallel Applications onto Homogeneous Clusters
Due to the strong increase of processing units available to the end user, expressing parallelism of an algorithm is a major challenge for many researchers. Parallel applications ar...
Sascha Hunold
BMCBI
2011
14 years 1 months ago
A user-friendly web portal for T-Coffee on supercomputers
Background: Parallel T-Coffee (PTC) was the first parallel implementation of the T-Coffee multiple sequence alignment tool. It is based on MPI and RMA mechanisms. Its purpose is t...
Josep Rius Torrento, Fernando Cores, Francesc Sols...
CIDM
2007
IEEE
15 years 4 months ago
Scalable Clustering for Large High-Dimensional Data Based on Data Summarization
Clustering large data sets with high dimensionality is a challenging data-mining task. This paper presents a framework to perform such a task efficiently. It is based on the notio...
Ying Lai, Ratko Orlandic, Wai Gen Yee, Sachin Kulk...
EUROPAR
1999
Springer
15 years 2 months ago
Parallel k/h-Means Clustering for Large Data Sets
This paper describes the realization of a parallel version of the k/h-means clustering algorithm. This is one of the basic algorithms used in a wide range of data mining tasks. We ...
Kilian Stoffel, Abdelkader Belkoniene