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131
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SBACPAD
2005
IEEE
176views Hardware» more  SBACPAD 2005»
15 years 9 months ago
Analyzing and Improving Clustering Based Sampling for Microprocessor Simulation
The time required to simulate a complete benchmark program using the cycle-accurate model of a microprocessor can be prohibitively high. One of the proposed methodologies, represe...
Yue Luo, Ajay Joshi, Aashish Phansalkar, Lizy Kuri...
162
Voted
BMCBI
2005
94views more  BMCBI 2005»
15 years 3 months ago
Reproducible Clusters from Microarray Research: Whither?
Motivation: In cluster analysis, the validity of specific solutions, algorithms, and procedures present significant challenges because there is no null hypothesis to test and no &...
Nikhil R. Garge, Grier P. Page, Alan P. Sprague, B...
151
Voted
RECOMB
2010
Springer
15 years 1 months ago
Listing All Parsimonious Reversal Sequences: New Algorithms and Perspectives
In comparative genomics studies, finding a minimum length sequences of reversals, so called sorting by reversals, has been the topic of a huge literature. Since there are many mini...
Ghada Badr, Krister M. Swenson, David Sankoff
115
Voted
SOUPS
2010
ACM
15 years 7 months ago
Feasibility of structural network clustering for group-based privacy control in social networks
Users of social networking sites often want to manage the sharing of information and content with different groups of people based on their differing relationships. However, group...
Simon Jones, Eamonn O'Neill
148
Voted
SIGMOD
1996
ACM
151views Database» more  SIGMOD 1996»
15 years 7 months ago
BIRCH: An Efficient Data Clustering Method for Very Large Databases
Finding useful patterns in large datasets has attracted considerable interest recently, and one of the most widely st,udied problems in this area is the identification of clusters...
Tian Zhang, Raghu Ramakrishnan, Miron Livny