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» A Genetic Algorithm for Clustering on Very Large Data Sets
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BMCBI
2011
13 years 2 months ago
Removing Noise From Pyrosequenced Amplicons
Background: In many environmental genomics applications a homologous region of DNA from a diverse sample is first amplified by PCR and then sequenced. The next generation sequenci...
Christopher Quince, Anders Lanzén, Russell ...
KES
2008
Springer
13 years 7 months ago
Classification and Retrieval through Semantic Kernels
Abstract. This work proposes a family of language-independent semantic kernel functions defined for individuals in an ontology. This allows exploiting wellfounded kernel methods fo...
Claudia d'Amato, Nicola Fanizzi, Floriana Esposito
SIGCOMM
1997
ACM
13 years 11 months ago
Consistent Overhead Byte Stuffing
—Byte stuffing is a process that encodes a sequence of data bytes that may contain ‘illegal’ or ‘reserved’ values, using a potentially longer sequence that contains no oc...
Stuart Cheshire, Mary Baker
WWW
2007
ACM
14 years 8 months ago
Query-driven indexing for peer-to-peer text retrieval
We describe a query-driven indexing framework for scalable text retrieval over structured P2P networks. To cope with the bandwidth consumption problem that has been identified as ...
Gleb Skobeltsyn, Toan Luu, Karl Aberer, Martin Raj...
ICDE
2010
IEEE
212views Database» more  ICDE 2010»
13 years 7 months ago
Cleansing uncertain databases leveraging aggregate constraints
— Emerging uncertain database applications often involve the cleansing (conditioning) of uncertain databases using additional information as new evidence for reducing the uncerta...
Haiquan Chen, Wei-Shinn Ku, Haixun Wang