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» Extracting k most important groups from data efficiently
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ICDE
2002
IEEE
206views Database» more  ICDE 2002»
14 years 6 months ago
Exploiting Local Similarity for Indexing Paths in Graph-Structured Data
XML and other semi-structured data may have partially specified or missing schema information, motivating the use of a structural summary which can be automatically computed from ...
Raghav Kaushik, Pradeep Shenoy, Philip Bohannon, E...
BMCBI
2010
160views more  BMCBI 2010»
13 years 5 months ago
Extracting consistent knowledge from highly inconsistent cancer gene data sources
Background: Hundreds of genes that are causally implicated in oncogenesis have been found and collected in various databases. For efficient application of these abundant but diver...
Xue Gong, Ruihong Wu, Yuannv Zhang, Wenyuan Zhao, ...
ICMCS
2006
IEEE
108views Multimedia» more  ICMCS 2006»
13 years 11 months ago
Efficient Speaker Detection via Target Dependent Data Reduction
Systems designed to extract time-critical information from large volumes of unstructured data must include the ability, both from an architectural and algorithmic point of view, t...
Upendra V. Chaudhari, Olivier Verscheure, Juan Hue...
ICDE
2010
IEEE
428views Database» more  ICDE 2010»
14 years 5 months ago
Supporting Top-K Keyword Search in XML Databases
Keyword search is considered to be an effective information discovery method for both structured and semistructured data. In XML keyword search, query semantics is based on the con...
Liang Jeff Chen, Yannis Papakonstantinou
BMCBI
2004
113views more  BMCBI 2004»
13 years 5 months ago
Influence of microarrays experiments missing values on the stability of gene groups by hierarchical clustering
Background: Microarray technologies produced large amount of data. The hierarchical clustering is commonly used to identify clusters of co-expressed genes. However, microarray dat...
Alexandre G. de Brevern, Serge A. Hazout, Alain Ma...