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» Evaluation of Sampling for Data Mining of Association Rules
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KDD
1998
ACM
145views Data Mining» more  KDD 1998»
15 years 4 months ago
Coincidence Detection: A Fast Method for Discovering Higher-Order Correlations in Multidimensional Data
Wepresent a novel, fast methodfor associationminingill high-dimensionaldatasets. OurCoincidence Detection method, which combines random sampling and Chernoff-Hoeffding bounds with...
Evan W. Steeg, Derek A. Robinson, Ed Willis
ICDIM
2008
IEEE
15 years 7 months ago
A geo-temporal Web gazetteer integrating data from multiple sources
This paper presents a geo-temporal gazetteer Web service that provides access to names of places and historical periods, together with the associated geotemporal information. With...
Hugo Manguinhas, Bruno Martins, José Luis B...
133
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BMCBI
2011
14 years 4 months ago
Software comparison for evaluating genomic copy number variation for Affymetrix 6.0 SNP array platform
Background: Copy number data are routinely being extracted from genome-wide association study chips using a variety of software. We empirically evaluated and compared four freely-...
Jeanette E. Eckel-Passow, Elizabeth J. Atkinson, S...
ICDE
2004
IEEE
133views Database» more  ICDE 2004»
16 years 1 months ago
GenExplore: Interactive Exploration of Gene Interactions from Microarray Data
DNA Microarray provides a powerful basis for analysis of gene expression. Data mining methods such as clustering have been widely applied to microarray data to link genes that sho...
Yong Ye, Xintao Wu, Kalpathi R. Subramanian, Liyin...
BMCBI
2008
87views more  BMCBI 2008»
15 years 21 days ago
Global rank-invariant set normalization (GRSN) to reduce systematic distortions in microarray data
Background: Microarray technology has become very popular for globally evaluating gene expression in biological samples. However, non-linear variation associated with the technolo...
Carl R. Pelz, Molly Kulesz-Martin, Grover Bagby, R...