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ICDM
2003
IEEE
240views Data Mining» more  ICDM 2003»
14 years 28 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
PRL
2008
65views more  PRL 2008»
13 years 7 months ago
Matching of quasi-periodic time series patterns by exchange of block-sorting signatures
We propose a novel method for quasi-periodic time series patterns matching, through signature exchange between the two patterns. The signature is obtained through sorting of the t...
Bachir Boucheham
SDM
2003
SIAM
184views Data Mining» more  SDM 2003»
13 years 9 months ago
Finding Clusters of Different Sizes, Shapes, and Densities in Noisy, High Dimensional Data
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...
Levent Ertöz, Michael Steinbach, Vipin Kumar
IV
2010
IEEE
196views Visualization» more  IV 2010»
13 years 6 months ago
Extracting Events from Spatial Time Series
An important task in exploration of data about phenomena and processes that develop over time is detection of significant changes that happened to the studied phenomenon. Our rese...
Gennady L. Andrienko, Natalia V. Andrienko, Martin...
VISSYM
2007
13 years 10 months ago
Multi-Resolution Techniques for Visual Exploration of Large Time-Series Data
Time series are a data type of utmost importance in many domains such as business management and service monitoring. We address the problem of visualizing large time-related data ...
Ming C. Hao, Umeshwar Dayal, Daniel A. Keim, Tobia...