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» Discovering Classification from Data of Multiple Sources
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NIPS
2004
13 years 9 months ago
On Semi-Supervised Classification
A graph-based prior is proposed for parametric semi-supervised classification. The prior utilizes both labelled and unlabelled data; it also integrates features from multiple view...
Balaji Krishnapuram, David Williams, Ya Xue, Alexa...
EDBT
2000
ACM
13 years 12 months ago
Quality Assessment and Uncertainty Handling in Data Mining Process
The KDD process aims at the discovery and extraction of “useful” knowledge (such as interesting patterns, classification, rules etc) from large data repositories. A widely rec...
Maria Halkidi
BMCBI
2010
113views more  BMCBI 2010»
13 years 7 months ago
A classification model for distinguishing copy number variants from cancer-related alterations
Background: Both somatic copy number alterations (CNAs) and germline copy number variants (CNVs) that are prevalent in healthy individuals can appear as recurrent changes in compa...
Irina Ostrovnaya, Gouri Nanjangud, Adam B. Olshen
DEXA
2004
Springer
79views Database» more  DEXA 2004»
14 years 1 months ago
Querying Distributed Data in a Super-Peer Based Architecture
Data integration is a significant challenge: relevant data objects are split across multiple information sources, and often owned by different organizations. The sources represent...
Zohra Bellahsene, Mark Roantree
WMCSA
2002
IEEE
14 years 15 days ago
Composing Pervasive Data Using iQL
The emergence of pervasive networked data sources, such as web services, sensors, and mobile devices, enables context-sensitive, mobile applications. We have developed a programmi...
Norman H. Cohen, Hui Lei, Paul Castro, John S. Dav...