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BMCBI
2011
12 years 11 months ago
A Platform for Processing Expression of Short Time Series (PESTS)
Background: Time course microarray profiles examine the expression of genes over a time domain. They are necessary in order to determine the complete set of genes that are dynamic...
Anshu Sinha, Marianthi Markatou
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...
SDM
2009
SIAM
343views Data Mining» more  SDM 2009»
14 years 1 months ago
Change-Point Detection in Time-Series Data by Direct Density-Ratio Estimation.
Change-point detection is the problem of discovering time points at which properties of time-series data change. This covers a broad range of real-world problems and has been acti...
Masashi Sugiyama, Yoshinobu Kawahara
DATAMINE
2006
224views more  DATAMINE 2006»
13 years 4 months ago
Characteristic-Based Clustering for Time Series Data
With the growing importance of time series clustering research, particularly for similarity searches amongst long time series such as those arising in medicine or finance, it is cr...
Xiaozhe Wang, Kate A. Smith, Rob J. Hyndman
IDA
2003
Springer
13 years 10 months ago
Fuzzy Clustering of Short Time-Series and Unevenly Distributed Sampling Points
This paper proposes a new clustering algorithm in the fuzzy-c-means family, which is designed to cluster time series and is particularly suited for short time series and those wit...
Carla S. Möller-Levet, Frank Klawonn, Kwang-H...