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» Online Amnesic Approximation of Streaming Time Series
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ICDE
2007
IEEE
183views Database» more  ICDE 2007»
14 years 8 months ago
SpADe: On Shape-based Pattern Detection in Streaming Time Series
Monitoring predefined patterns in streaming time series is useful to applications such as trend-related analysis, sensor networks and video surveillance. Most current studies on s...
Yueguo Chen, Mario A. Nascimento, Beng Chin Ooi, A...
CORR
2006
Springer
132views Education» more  CORR 2006»
13 years 7 months ago
Streaming Maximum-Minimum Filter Using No More than Three Comparisons per Element
The running maximum-minimum (MAX-MIN) filter computes the maxima and minima over running windows of size w. This filter has numerous applications in signal processing and time seri...
Daniel Lemire
DASFAA
2011
IEEE
525views Database» more  DASFAA 2011»
12 years 11 months ago
StreamFitter: A Real Time Linear Regression Analysis System for Continuous Data Streams
In this demo, we present the StreamFitter system for real-time regression analysis on continuous data streams. In order to perform regression on data streams, it is necessary to co...
Chandima H. Nadungodage, Yuni Xia, Fang Li, Jaehwa...
ICDM
2003
IEEE
240views Data Mining» more  ICDM 2003»
14 years 21 days ago
Clustering of Time Series Subsequences is Meaningless: Implications for Previous and Future Research
Given the recent explosion of interest in streaming data and online algorithms, clustering of time series subsequences, extracted via a sliding window, has received much attention...
Eamonn J. Keogh, Jessica Lin, Wagner Truppel
ECML
1997
Springer
13 years 11 months ago
Parallel and Distributed Search for Structure in Multivariate Time Series
Abstract. E cient data mining algorithms are crucial fore ective knowledge discovery. We present the Multi-Stream Dependency Detection (msdd) data mining algorithm that performs a ...
Tim Oates, Matthew D. Schmill, Paul R. Cohen