136 search results - page 11 / 28 » Mining Dense Periodic Patterns in Time Series Data |
KDD
2003
ACM
15 years 10 months ago
2003
ACM
We are developing technology for generating English textual summaries of time-series data, in three domains: weather forecasts, gas-turbine sensor readings, and hospital intensive...
KDD
2007
ACM
15 years 10 months ago
2007
ACM
In this study, a novel multidimensional time series classification technique, namely support feature machine (SFM), is proposed. SFM is inspired by the optimization model of suppo...
101
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SDM
2003
SIAM
14 years 11 months ago
2003
SIAM
The problem of finding clusters in data is challenging when clusters are of widely differing sizes, densities and shapes, and when the data contains large amounts of noise and out...
118
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IJAR
2011
14 years 1 months ago
2011
Sequential pattern mining is a crucial but challenging task in many applications, e.g., analyzing the behaviors of data in transactions and discovering frequent patterns in time se...
ISMIS
2009
Springer
15 years 4 months ago
2009
Springer
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...