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» Discovering Classification from Data of Multiple Sources
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CBMS
2005
IEEE
15 years 7 months ago
An Online Analysis and Information Fusion Platform for Heterogeneous Biomedical Informatics Data
Current research in biomedical informatics involves analysis of multiple heterogeneous data sets. This includes patient demographics, clinical and pathology data, treatment histor...
Srivatsava Ranjit Ganta, Jyotsna Kasturi, John Gil...
DILS
2007
Springer
15 years 5 months ago
Accelerating Disease Gene Identification Through Integrated SNP Data Analysis
Information about small genetic variations in organisms, known as single nucleotide polymorphism (SNPs), is crucial to identify candidate genes that have a role in disease suscepti...
Paolo Missier, Suzanne M. Embury, Cornelia Hedeler...
132
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IFIP12
2010
14 years 11 months ago
Information Fusion for Entity Matching in Unstructured Data
Every day the global media system produces an abundance of news stories, all containing many references to people. An important task is to automatically generate reliable lists of ...
Omar Ali, Nello Cristianini
SDM
2009
SIAM
225views Data Mining» more  SDM 2009»
15 years 11 months ago
Integrated KL (K-means - Laplacian) Clustering: A New Clustering Approach by Combining Attribute Data and Pairwise Relations.
Most datasets in real applications come in from multiple sources. As a result, we often have attributes information about data objects and various pairwise relations (similarity) ...
Fei Wang, Chris H. Q. Ding, Tao Li
AUSDM
2006
Springer
114views Data Mining» more  AUSDM 2006»
15 years 5 months ago
Consolidated Trees: An Analysis of Structural Convergence
When different subsamples of the same data set are used to induce classification trees, the structure of the built classifiers is very different. The stability of the structure of ...
Jesús M. Pérez, Javier Muguerza, Ola...