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BMCBI
2010
121views more  BMCBI 2010»
13 years 6 months ago
A grammar-based distance metric enables fast and accurate clustering of large sets of 16S sequences
Background: We propose a sequence clustering algorithm and compare the partition quality and execution time of the proposed algorithm with those of a popular existing algorithm. T...
David J. Russell, Samuel F. Way, Andrew K. Benson,...
EMNLP
2006
13 years 10 months ago
Learning Field Compatibilities to Extract Database Records from Unstructured Text
Named-entity recognition systems extract entities such as people, organizations, and locations from unstructured text. Rather than extract these mentions in isolation, this paper ...
Michael L. Wick, Aron Culotta, Andrew McCallum
BMCBI
2005
97views more  BMCBI 2005»
13 years 9 months ago
Clustering the annotation space of proteins
Background: Current protein clustering methods rely on either sequence or functional similarities between proteins, thereby limiting inferences to one of these areas. Results: Her...
Victor Kunin, Christos A. Ouzounis
JSAT
2010
108views more  JSAT 2010»
13 years 3 months ago
Experiment design and administration for computer clusters for SAT-solvers (EDACC)
The design of a SAT-solver or the modification of an existing one is always followed by a phase of intensive testing of the solver on a benchmark of instances. This task can be ve...
Adrian Balint, Daniel Gall, Gregor Kapler, Robert ...
CASCON
1997
232views Education» more  CASCON 1997»
13 years 10 months ago
DBMiner: a system for data mining in relational databases and data warehouses
A data mining system, DBMiner, has been developed for interactive mining of multiple-level knowledgeinlargerelationaldatabases and data warehouses. The system implements a wide sp...
Jiawei Han, Jenny Chiang, Sonny Han Seng Chee, Jia...