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» Mining Several Data Bases with an Ensemble of Classifiers
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KDD
2012
ACM
243views Data Mining» more  KDD 2012»
11 years 11 months ago
Storytelling in entity networks to support intelligence analysts
Intelligence analysts grapple with many challenges, chief among them is the need for software support in storytelling, i.e., automatically ‘connecting the dots’ between dispar...
M. Shahriar Hossain, Patrick Butler, Arnold P. Boe...
PAKDD
2005
ACM
168views Data Mining» more  PAKDD 2005»
14 years 2 months ago
Adaptive Nonlinear Auto-Associative Modeling Through Manifold Learning
We propose adaptive nonlinear auto-associative modeling (ANAM) based on Locally Linear Embedding algorithm (LLE) for learning intrinsic principal features of each concept separatel...
Junping Zhang, Stan Z. Li
FLAIRS
2008
13 years 11 months ago
Building Useful Models from Imbalanced Data with Sampling and Boosting
Building useful classification models can be a challenging endeavor, especially when training data is imbalanced. Class imbalance presents a problem when traditional classificatio...
Chris Seiffert, Taghi M. Khoshgoftaar, Jason Van H...
NAR
2007
131views more  NAR 2007»
13 years 8 months ago
Snap: an integrated SNP annotation platform
Snap (Single Nucleotide Polymorphism Annotation Platform) is a server designed to comprehensively analyze single genes and relationships between genes basing on SNPs in the human ...
Shengting Li, Lijia Ma, Heng Li, Søren Vang...
KDD
2003
ACM
122views Data Mining» more  KDD 2003»
14 years 9 months ago
Understanding captions in biomedical publications
From the standpoint of the automated extraction of scientific knowledge, an important but little-studied part of scientific publications are the figures and accompanying captions....
William W. Cohen, Richard C. Wang, Robert F. Murph...