5463 search results - page 96 / 1093 » Evaluating algorithms that learn from data streams |
122
Voted
ILP
2001
Springer
15 years 8 months ago
2001
Springer
The Bayesian framework of learning from positive noise-free examples derived by Muggleton [12] is extended to learning functional hypotheses from positive examples containing norma...
117
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PKDD
2000
Springer
15 years 7 months ago
2000
Springer
Previous algoritms for the construction of belief networks structures from data are mainly based either on independence criteria or on scoring metrics. The aim of this paper is to ...
127
Voted
FLAIRS
2007
15 years 6 months ago
2007
Many real-world domains present the problem of imbalanced data sets, where examples of one classes significantly outnumber examples of other classes. This makes learning difficu...
120
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CIDM
2007
IEEE
15 years 10 months ago
2007
IEEE
Outlier detection has recently become an important problem in many industrial and financial applications. This problem is further complicated by the fact that in many cases, outlie...
141
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KDD
2003
ACM
16 years 4 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...