583 search results - page 67 / 117 » Mining evolving data streams for frequent patterns |
ICML
1996
IEEE
15 years 10 months ago
1996
IEEE
Finding structure in multiple streams of data is an important problem. Consider the streams of data owing from a robot's sensors, the monitors in an intensive care unit, or p...
119
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JCP
2006
14 years 9 months ago
2006
Sequential pattern mining is an important data mining method with broad applications that can extract frequent sequences while maintaining their order. However, it is important to ...
120
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KDD
2007
ACM
15 years 10 months ago
2007
ACM
Existing data-stream clustering algorithms such as CluStream are based on k-means. These clustering algorithms are incompetent to find clusters of arbitrary shapes and cannot hand...
114
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KDD
2009
ACM
15 years 10 months ago
2009
ACM
A recent study by two prominent finance researchers, Fama and French, introduces a new framework for studying risk vs. return: the migration of stocks across size-value portfolio ...
ACSC
2002
IEEE
15 years 2 months ago
2002
IEEE
We show how frequently occurring sequential patterns may be found from large datasets by first inducing a finite state automaton model describing the data, and then querying the m...