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KDD
2008
ACM
140views Data Mining» more  KDD 2008»
16 years 3 months ago
Semi-supervised approach to rapid and reliable labeling of large data sets
Supervised classification methods have been shown to be very effective for a large number of applications. They require a training data set whose instances are labeled to indicate...
György J. Simon, Vipin Kumar, Zhi-Li Zhang
137
Voted
KDD
2005
ACM
161views Data Mining» more  KDD 2005»
16 years 3 months ago
Combining email models for false positive reduction
Machine learning and data mining can be effectively used to model, classify and discover interesting information for a wide variety of data including email. The Email Mining Toolk...
Shlomo Hershkop, Salvatore J. Stolfo
117
Voted
RECOMB
2002
Springer
16 years 2 months ago
Phase-independent rhythmic analysis of genome-wide expression patterns
We introduce a model-based analysis technique for extracting and characterizing rhythmic expression pro les from genome-wide DNA microarray hybridization data. These patterns are ...
Christopher James Langmead, Anthony K. Yan, C. Rob...
SIGMOD
2007
ACM
167views Database» more  SIGMOD 2007»
16 years 2 months ago
Data currency in replicated DHTs
Distributed Hash Tables (DHTs) provide a scalable solution for data sharing in P2P systems. To ensure high data availability, DHTs typically rely on data replication, yet without ...
Reza Akbarinia, Esther Pacitti, Patrick Valduriez
SECON
2008
IEEE
15 years 9 months ago
Coordinated Locomotion of Mobile Sensor Networks
Stationary wireless sensor networks (WSNs) fail to scale when the area to be monitored is open (i.e borderless) and the physical phenomena to be monitored may migrate through a la...
Seokhoon Yoon, Onur Soysal, Murat Demirbas, Chunmi...
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