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KDD
2010
ACM
249views Data Mining» more  KDD 2010»
15 years 7 months ago
Semi-supervised sparse metric learning using alternating linearization optimization
In plenty of scenarios, data can be represented as vectors mathematically abstracted as points in a Euclidean space. Because a great number of machine learning and data mining app...
Wei Liu, Shiqian Ma, Dacheng Tao, Jianzhuang Liu, ...
BMCBI
2005
212views more  BMCBI 2005»
15 years 5 months ago
PAGE: Parametric Analysis of Gene Set Enrichment
Background: Gene set enrichment analysis (GSEA) is a microarray data analysis method that uses predefined gene sets and ranks of genes to identify significant biological changes i...
Seon-Young Kim, David J. Volsky
IADIS
2003
15 years 7 months ago
Towards a Distributed Information Architecture for Avionics Data
Avionics data at the National Aeronautics and Space Administration’s (NASA) Jet Propulsion Laboratory (JPL) consists of distributed, unmanaged, and heterogeneous information tha...
Chris Mattmann, Dana Freeborn, Daniel J. Crichton
CBMS
2007
IEEE
15 years 7 months ago
From Local Laboratory Data to Public Domain Database in Search of Indirect Association of Diseases: AJAX Based Gene Data Search
This paper presents an extensible schema for capturing laboratory gene variance data with its meta-data properties in a semi-structured environment. This paper also focuses on the...
Nawaz Khan, Ham Long, Shahedur Rahman, Tony Stockm...
ICDM
2006
IEEE
158views Data Mining» more  ICDM 2006»
15 years 12 months ago
A Probability Distribution Of Functional Random Variable With A Functional Data Analysis Application
Probability distributions are central tools for probabilistic modeling in data mining, and they lack in functional data analysis (FDA). In this paper we propose a probability dist...
Etienne Cuvelier, Monique Noirhomme-Fraiture