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95
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ICDE
2010
IEEE
188views Database» more  ICDE 2010»
16 years 1 months ago
Space-efficient Online Approximation of Time Series Data: Streams, Amnesia, and Out-of-order
In this paper, we present an abstract framework for online approximation of time-series data that yields a unified set of algorithms for several popular models: data streams, amnes...
Sorabh Gandhi, Luca Foschini, Subhash Suri
204
Voted
ICDE
2004
IEEE
121views Database» more  ICDE 2004»
16 years 3 months ago
Online Amnesic Approximation of Streaming Time Series
The past decade has seen a wealth of research on time series representations, because the manipulation, storage, and indexing of large volumes of raw time series data is impractic...
Themistoklis Palpanas, Michail Vlachos, Eamonn J. ...
227
Voted
VLDB
2006
ACM
190views Database» more  VLDB 2006»
16 years 2 months ago
Online summarization of dynamic time series data
Managing large-scale time series databases has attracted significant attention in the database community recently. Related fundamental problems such as dimensionality reduction, tr...
Ümit Y. Ogras, Hakan Ferhatosmanoglu
105
Voted
ICPR
2008
IEEE
15 years 8 months ago
An online polygonal approximation of digital signals and curves with Dynamic Programming algorithm
A fast online algorithm was developed for polygonal approximation of signals and curves with a minimum number of line segments for a given constraint on the standard deviation of ...
Alexander Kolesnikov
112
Voted
TKDE
2008
133views more  TKDE 2008»
15 years 1 months ago
Streaming Time Series Summarization Using User-Defined Amnesic Functions
The past decade has seen a wealth of research on time series representations, because the manipulation, storage, and indexing of large volumes of raw time series data is impractica...
Themis Palpanas, Michail Vlachos, Eamonn J. Keogh,...