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BMCBI
2008
142views more  BMCBI 2008»
14 years 9 months ago
Microarray data mining: A novel optimization-based approach to uncover biologically coherent structures
Background: DNA microarray technology allows for the measurement of genome-wide expression patterns. Within the resultant mass of data lies the problem of analyzing and presenting...
Meng Piao Tan, Erin N. Smith, James R. Broach, Chr...
BMCBI
2008
123views more  BMCBI 2008»
14 years 9 months ago
Functional module detection by functional flow pattern mining in protein interaction networks
eraction networks. In this abstract, we extend this approach by mining functional flow patterns for the purpose of detecting small-sized modules for specific functions. Methods Our...
Young-Rae Cho, Lei Shi, Aidong Zhang
PAKDD
2011
ACM
473views Data Mining» more  PAKDD 2011»
14 years 3 months ago
 Finding Rare Classes: Adapting Generative and Discriminative Models in Active Learning
Discovering rare categories and classifying new instances of them is an important data mining issue in many fields, but fully supervised learning of a rare class classifier is pr...
Timothy Hospedales, Shaogang Gong and Tao Xiang
SIGMOD
2008
ACM
136views Database» more  SIGMOD 2008»
15 years 9 months ago
Mining relationships among interval-based events for classification
Existing temporal pattern mining assumes that events do not have any duration. However, events in many real world applications have durations, and the relationships among these ev...
Dhaval Patel, Wynne Hsu, Mong-Li Lee
KDD
2006
ACM
153views Data Mining» more  KDD 2006»
15 years 10 months ago
Semi-supervised time series classification
The problem of time series classification has attracted great interest in the last decade. However current research assumes the existence of large amounts of labeled training data...
Li Wei, Eamonn J. Keogh