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» Fast approximate correlation for massive time-series data
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KDD
2008
ACM
178views Data Mining» more  KDD 2008»
14 years 5 months ago
iSAX: indexing and mining terabyte sized time series
Current research in indexing and mining time series data has produced many interesting algorithms and representations. However, it has not led to algorithms that can scale to the ...
Jin Shieh, Eamonn J. Keogh
SDM
2012
SIAM
285views Data Mining» more  SDM 2012»
11 years 7 months ago
A Novel Approximation to Dynamic Time Warping allows Anytime Clustering of Massive Time Series Datasets
Given the ubiquity of time series data, the data mining community has spent significant time investigating the best time series similarity measure to use for various tasks and dom...
Qiang Zhu 0002, Gustavo E. A. P. A. Batista, Thana...
KDD
2005
ACM
141views Data Mining» more  KDD 2005»
14 years 5 months ago
Fast window correlations over uncooperative time series
Richard Cole, Dennis Shasha, Xiaojian Zhao
SIGMOD
2010
ACM
186views Database» more  SIGMOD 2010»
13 years 9 months ago
Fast approximate correlation for massive time-series data
We consider the problem of computing all-pair correlations in a warehouse containing a large number (e.g., tens of thousands) of time-series (or, signals). The problem arises in a...
Abdullah Mueen, Suman Nath, Jie Liu
SSDBM
2000
IEEE
128views Database» more  SSDBM 2000»
13 years 9 months ago
Supporting Content-Based Searches on Time Series via Approximation
Fast retrieval of time series in terms of their contents is important in many application domains. This paper studies database techniques supporting fast searches for time series ...
Changzhou Wang, Xiaoyang Sean Wang