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» Mining Regular Patterns in Data Streams
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DATESO
2009
146views Database» more  DATESO 2009»
13 years 8 months ago
Compression of the Stream Array Data Structure
In recent years, many approaches to XML twig pattern query (TPQ) processing have been developed. Some algorithms are supported by a stream abstract data type. s an abstract data ty...
Radim Baca, Martin Pawlas
CIKM
2008
Springer
14 years 26 days ago
Efficient frequent pattern mining over data streams
This paper proposes a prefix-tree structure, called CPS-tree (Compact Pattern Stream tree) that efficiently discovers the exact set of recent frequent patterns from high-speed dat...
Syed Khairuzzaman Tanbeer, Chowdhury Farhan Ahmed,...
PR
2007
81views more  PR 2007»
13 years 10 months ago
Mining evolving data streams for frequent patterns
A data stream is a potentially uninterrupted flow of data. Mining this flow makes it necessary to cope with uncertainty, as only a part of the stream can be stored. In this pape...
Pierre-Alain Laur, Richard Nock, Jean-Emile Sympho...
ML
2010
ACM
138views Machine Learning» more  ML 2010»
13 years 5 months ago
Mining adversarial patterns via regularized loss minimization
Traditional classification methods assume that the training and the test data arise from the same underlying distribution. However, in several adversarial settings, the test set is...
Wei Liu, Sanjay Chawla
ISMIS
2009
Springer
14 years 5 months ago
Novelty Detection from Evolving Complex Data Streams with Time Windows
Abstract. Novelty detection in data stream mining denotes the identification of new or unknown situations in a stream of data elements flowing continuously in at rapid rate. This...
Michelangelo Ceci, Annalisa Appice, Corrado Loglis...