539 search results - page 23 / 108 » Online Algorithms for Mining Semi-structured Data Stream |
EPIA
2003
Springer
15 years 7 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...
101
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DAWAK
2000
Springer
15 years 6 months ago
2000
Springer
Abstract The application of data mining algorithms needs a goal-oriented preprocessing of the data. In practical applications the preprocessing task is very time consuming and has ...
115
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KDD
2006
ACM
16 years 2 months ago
2006
ACM
Mining data streams of changing class distributions is important for real-time business decision support. The stream classifier must evolve to reflect the current class distributi...
121
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KDD
2000
ACM
15 years 5 months ago
2000
ACM
Many organizations today have more than very large databases; they have databases that grow without limit at a rate of several million records per day. Mining these continuous dat...
104
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INFOCOM
2010
IEEE
15 years 7 days ago
2010
IEEE
— Quantiles are very useful in characterizing the data distribution of an evolving dataset in the process of data mining or network monitoring. The method of Stochastic Approxima...