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ICCS
2007
Springer
13 years 11 months ago
Inaccuracies of Shape Averaging Method Using Dynamic Time Warping for Time Series Data
Shape averaging or signal averaging of time series data is one of the prevalent subroutines in data mining tasks, where Dynamic Time Warping distance measure (DTW) is known to work...
Vit Niennattrakul, Chotirat Ann Ratanamahatana
ICDM
2003
IEEE
240views Data Mining» more  ICDM 2003»
13 years 10 months 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
MUE
2007
IEEE
190views Multimedia» more  MUE 2007»
13 years 11 months ago
On Clustering Multimedia Time Series Data Using K-Means and Dynamic Time Warping
After the generation of multimedia data turned digital, an explosion of interest in their data storage, retrieval, and processing has drastically increased. This includes videos, ...
Vit Niennattrakul, Chotirat Ann Ratanamahatana
IJON
2008
128views more  IJON 2008»
13 years 5 months ago
Independent arrays or independent time courses for gene expression time series data analysis
In this paper we apply three different independent component analysis (ICA) methods, including spatial ICA (sICA), temporal ICA (tICA), and spatiotemporal ICA (stICA), to gene exp...
Sookjeong Kim, Jong Kyoung Kim, Seungjin Choi
IV
2009
IEEE
131views Visualization» more  IV 2009»
13 years 12 months ago
A Visualization and Level-of-Detail Control Technique for Large Scale Time Series Data
We have various interesting time series data in our daily life, such as weather data (e.g., temperature and air pressure) and stock prices. Polyline chart is one of the most commo...
Yumiko Uchida, Takayuki Itoh