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BMCBI
2008
122views more  BMCBI 2008»
13 years 9 months ago
A practical comparison of two K-Means clustering algorithms
Background: Data clustering is a powerful technique for identifying data with similar characteristics, such as genes with similar expression patterns. However, not all implementat...
Gregory A. Wilkin, Xiuzhen Huang
BMCBI
2008
153views more  BMCBI 2008»
13 years 9 months ago
How to make the most of NE dictionaries in statistical NER
Background: When term ambiguity and variability are very high, dictionary-based Named Entity Recognition (NER) is not an ideal solution even though large-scale terminological reso...
Yutaka Sasaki, Yoshimasa Tsuruoka, John McNaught, ...
CCR
2010
202views more  CCR 2010»
13 years 9 months ago
Understanding data center traffic characteristics
As data centers become more and more central in Internet communications, both research and operations communities have begun to explore how to better design and manage them. In th...
Theophilus Benson, Ashok Anand, Aditya Akella, Min...
CACM
2008
131views more  CACM 2008»
13 years 9 months ago
Exterminator: Automatically correcting memory errors with high probability
Programs written in C and C++ are susceptible to memory errors, including buffer overflows and dangling pointers. These errors, which can lead to crashes, erroneous execution, and...
Gene Novark, Emery D. Berger, Benjamin G. Zorn
CCE
2008
13 years 9 months ago
A hierarchical decision procedure for productivity innovation in large-scale petrochemical processes
Maintaining the best quality is essential for the survival of a company in a globally competitive world. Six Sigma activity has been widely accepted as one of the most efficient a...
Chonghun Han, Minjin Kim, En Sup Yoon
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