127 search results - page 11 / 26 » Mining asynchronous periodic patterns in time series data |
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IJAR
2011
14 years 26 days 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...
ICDM
2006
IEEE
15 years 3 months ago
2006
IEEE
We address the problem of capturing and tracking local correlations among time evolving time series. Our approach is based on comparing the local auto-covariance matrices (via the...
TKDE
2008
14 years 9 months ago
2008
With the advance of hardware and communication technologies, stream time series is gaining ever-increasing attention due to its importance in many applications such as financial da...
ENGL
2007
14 years 9 months ago
2007
— This paper presents clustering techniques (K-means, Fuzzy K-means, Subtractive) applied on specific databases (Flower Classification and Mackey-Glass time series) , to automati...