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» Large-Scale Data Analysis Using Heuristic Methods
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WCRE
2009
IEEE
15 years 11 months ago
Domain Feature Model Recovery from Multiple Applications Using Data Access Semantics and Formal Concept Analysis
Feature models are widely employed in domainspecific software development to specify the domain requirements with commonality and variability. A feature model is usually construct...
Yiming Yang, Xin Peng, Wenyun Zhao
BMCBI
2010
170views more  BMCBI 2010»
15 years 4 months ago
Integrative analysis of gene expression and copy number alterations using canonical correlation analysis
Background: With the rapid development of new genetic measurement methods, several types of genetic alterations can be quantified in a high-throughput manner. While the initial fo...
Charlotte Soneson, Henrik Lilljebjörn, Thoas ...
134
Voted
IADIS
2008
15 years 6 months ago
Sisa: Seeded Iterative Signature Algorithm for Biclustering Gene Expression Data
One approach to reduce the complexity of the task in the analysis of large scale genome-wide expression is to group the genes showing similar expression patterns into what are cal...
Neelima Gupta, Seema Aggarwal
128
Voted
DEXA
2007
Springer
154views Database» more  DEXA 2007»
15 years 10 months ago
Performance Oriented Schema Matching
Abstract. Semantic matching of schemas in heterogeneous data sharing systems is time consuming and error prone. Existing mapping tools employ semi-automatic techniques for mapping ...
Khalid Saleem, Zohra Bellahsene, Ela Hunt
ICDE
2012
IEEE
267views Database» more  ICDE 2012»
13 years 7 months ago
Scalable and Numerically Stable Descriptive Statistics in SystemML
—With the exponential growth in the amount of data that is being generated in recent years, there is a pressing need for applying machine learning algorithms to large data sets. ...
Yuanyuan Tian, Shirish Tatikonda, Berthold Reinwal...