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» Approximate data mining in very large relational data
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ERCIMDL
2008
Springer
112views Education» more  ERCIMDL 2008»
15 years 3 months ago
Releasing the Power of Digital Metadata: Examining Large Networks of Co-related Publications
Bibliographic metadata plays a key role in scientific literature, not only to summarise and establish the facts of the publication record, but also to track citations between publ...
David Tarrant, Les Carr, Terry R. Payne
134
Voted
KDD
2007
ACM
182views Data Mining» more  KDD 2007»
16 years 2 months ago
Cleaning disguised missing data: a heuristic approach
In some applications such as filling in a customer information form on the web, some missing values may not be explicitly represented as such, but instead appear as potentially va...
Ming Hua, Jian Pei
SDM
2009
SIAM
170views Data Mining» more  SDM 2009»
15 years 11 months ago
Optimal Distance Bounds on Time-Series Data.
Most data mining operations include an integral search component at their core. For example, the performance of similarity search or classification based on Nearest Neighbors is ...
Michail Vlachos, Philip S. Yu, Suleyman S. Kozat
ICDE
2008
IEEE
195views Database» more  ICDE 2008»
16 years 3 months ago
Scalable Rule-Based Gene Expression Data Classification
Abstract-- Current state-of-the-art association rule-based classifiers for gene expression data operate in two phases: (i) Association rule mining from training data followed by (i...
Mark A. Iwen, Willis Lang, Jignesh M. Patel
BMCBI
2008
129views more  BMCBI 2008»
15 years 1 months ago
Mining phenotypes for gene function prediction
Background: Health and disease of organisms are reflected in their phenotypes. Often, a genetic component to a disease is discovered only after clearly defining its phenotype. In ...
Philip Groth, Bertram Weiss, Hans-Dieter Pohlenz, ...