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» Data Reduction Using Multiple Models Integration
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117
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COMAD
2008
15 years 4 months ago
Information Integration Across Heterogeneous Sources: Where Do We Stand and How to Proceed?
Today, information integration has assumed a completely different, complex connotation than what it used to be. The advent of the Internet, the proliferation of information source...
Aditya Telang, Sharma Chakravarthy, Yan Huang
141
Voted
KDD
2006
ACM
115views Data Mining» more  KDD 2006»
16 years 3 months ago
Supervised probabilistic principal component analysis
Principal component analysis (PCA) has been extensively applied in data mining, pattern recognition and information retrieval for unsupervised dimensionality reduction. When label...
Shipeng Yu, Kai Yu, Volker Tresp, Hans-Peter Krieg...
138
Voted
RECOMB
2006
Springer
16 years 3 months ago
Integrated Protein Interaction Networks for 11 Microbes
We have combined four different types of functional genomic data to create high coverage protein interaction networks for 11 microbes. Our integration algorithm naturally handles s...
Balaji S. Srinivasan, Antal F. Novak, Jason Flanni...
154
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INFOVIS
2003
IEEE
15 years 8 months ago
Exploring High-D Spaces with Multiform Matrices and Small Multiples
We introduce an approach to visual analysis of multivariate data that integrates several methods from information visualization, exploratory data analysis (EDA), and geovisualizat...
Alan M. MacEachren, Xiping Dai, Frank Hardisty, Di...
98
Voted
ISSS
1997
IEEE
107views Hardware» more  ISSS 1997»
15 years 7 months ago
Port Calling: A Transformation for Reducing I/O during Multi-Package Functional Partitioning
Partitioning a system among multiple input and output pin I O limited packages is a widely researched and hard to solve problem. We previously described a new approach yielding ...
Frank Vahid