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ICDM
2005
IEEE
271views Data Mining» more  ICDM 2005»
15 years 5 months ago
HOT SAX: Efficiently Finding the Most Unusual Time Series Subsequence
In this work, we introduce the new problem of finding time series discords. Time series discords are subsequences of a longer time series that are maximally different to all the r...
Eamonn J. Keogh, Jessica Lin, Ada Wai-Chee Fu
SDM
2008
SIAM
112views Data Mining» more  SDM 2008»
15 years 1 months ago
A pattern mining approach toward discovering generalized sequence signatures
Typically, sequence signatures, such as motifs and domains, are assumed to be localized in one region of a sequence or are derived as combinations of the former. We generalize the...
Dietmar H. Dorr, Anne Denton
TMM
2008
167views more  TMM 2008»
14 years 11 months ago
Mining Appearance Models Directly From Compressed Video
In this paper, we propose an approach to learning appearance models of moving objects directly from compressed video. The appearance of a moving object changes dynamically in vide...
Datong Chen, Qiang Liu, Mingui Sun, Jie Yang
ICWSM
2009
14 years 9 months ago
From Generating to Mining: Automatically Scripting Conversations Using Existing Online Sources
Hearing people argue opposing sides of an issue can be a useful way to understand the topic; however, these debates or conversations often don't exist. Unfortunately, generat...
Nathan D. Nichols, Lisa M. Gandy, Kristian J. Hamm...
DATAMINE
2007
135views more  DATAMINE 2007»
14 years 11 months ago
Experiencing SAX: a novel symbolic representation of time series
Many high level representations of time series have been proposed for data mining, including Fourier transforms, wavelets, eigenwaves, piecewise polynomial models etc. Many researc...
Jessica Lin, Eamonn J. Keogh, Li Wei, Stefano Lona...