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KDD
2003
ACM
192views Data Mining» more  KDD 2003»
14 years 5 months ago
Efficient elastic burst detection in data streams
Burst detection is the activity of finding abnormal aggregates in data streams. Such aggregates are based on sliding windows over data streams. In some applications, we want to mo...
Yunyue Zhu, Dennis Shasha
PAKDD
2010
ACM
212views Data Mining» more  PAKDD 2010»
13 years 10 months ago
Fast Perceptron Decision Tree Learning from Evolving Data Streams
Abstract. Mining of data streams must balance three evaluation dimensions: accuracy, time and memory. Excellent accuracy on data streams has been obtained with Naive Bayes Hoeffdi...
Albert Bifet, Geoffrey Holmes, Bernhard Pfahringer...
CF
2010
ACM
13 years 8 months ago
Towards chip-on-chip neuroscience: fast mining of neuronal spike streams using graphics hardware
Computational neuroscience is being revolutionized with the advent of multi-electrode arrays that provide real-time, dynamic perspectives into brain function. Mining neuronal spik...
Yong Cao, Debprakash Patnaik, Sean P. Ponce, Jerem...
ICDM
2008
IEEE
112views Data Mining» more  ICDM 2008»
13 years 12 months ago
Nearest Neighbour Classifiers for Streaming Data with Delayed Labelling
Ludmila I. Kuncheva, J. Salvador Sánchez