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» Data Mining for Genetics: A Genetic Algorithm Approach
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KDD
2007
ACM
170views Data Mining» more  KDD 2007»
16 years 6 months ago
From frequent itemsets to semantically meaningful visual patterns
Data mining techniques that are successful in transaction and text data may not be simply applied to image data that contain high-dimensional features and have spatial structures....
Junsong Yuan, Ying Wu, Ming Yang
SDM
2008
SIAM
118views Data Mining» more  SDM 2008»
15 years 7 months ago
Massive-Scale Kernel Discriminant Analysis: Mining for Quasars
We describe a fast algorithm for kernel discriminant analysis, empirically demonstrating asymptotic speed-up over the previous best approach. We achieve this with a new pattern of...
Ryan Riegel, Alexander Gray, Gordon Richards
191
Voted
BMCBI
2007
215views more  BMCBI 2007»
15 years 6 months ago
Learning causal networks from systems biology time course data: an effective model selection procedure for the vector autoregres
Background: Causal networks based on the vector autoregressive (VAR) process are a promising statistical tool for modeling regulatory interactions in a cell. However, learning the...
Rainer Opgen-Rhein, Korbinian Strimmer
IDA
2002
Springer
15 years 6 months ago
Optimization of association rule mining queries
Levelwise algorithms (e.g., the Apriori algorithm) have been proved eective for association rule mining from sparse data. However, in many practical applications, the computation ...
Baptiste Jeudy, Jean-François Boulicaut
JNW
2008
117views more  JNW 2008»
15 years 6 months ago
An Intelligent Multicast Ad-hoc On demand Distance Vector Protocol for MANETs
-Recently multicast routing protocols in Mobile Ad-hoc Networks (MANETs) are emerging for wireless group communication. This includes application such as multipoint data disseminat...
E. Baburaj, V. Vasudevan