1291 search results - page 13 / 259 » Learning Rules from Distributed Data |
EPIA
2003
Springer
15 years 4 months ago
2003
Springer
This paper presents an incremental and scalable learning algorithm in order to mine numeric, low dimensionality, high–cardinality, time–changing data streams. Within the Superv...
KDD
1995
ACM
15 years 3 months ago
1995
ACM
Knowledge discovery in databases has become an increasingly important research topic with the advent of wide area network computing. One of the crucial problems we study in this p...
104
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SDM
2010
SIAM
15 years 1 months ago
2010
SIAM
We propose a new decision tree algorithm, Class Confidence Proportion Decision Tree (CCPDT), which is robust and insensitive to class distribution and generates rules which are st...
94
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JDWM
2007
14 years 11 months ago
2007
Rule induction from examples is a machine learning technique that finds rules of the form condition → class, where condition and class are logic expressions of the form variable...
100
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PPSN
2004
Springer
15 years 5 months ago
2004
Springer
Two ideas taken from Bayesian optimization and classifier systems are presented for personnel scheduling based on choosing a suitable scheduling rule from a set for each person’s...