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KDD
2004
ACM
14 years 9 months ago
2004
ACM
KDD
2004
ACM
14 years 9 months ago
2004
ACM
KDD
2003
ACM
14 years 9 months ago
2003
ACM
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...
INCDM
2010
Springer
13 years 12 months ago
2010
Springer
Hospitals increasingly use process models for structuring their care processes. Activities performed to patients are logged to a database but these data are rarely used for managin...
PAKDD
2010
ACM
14 years 1 months ago
2010
ACM
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...