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» AIM: Approximate Intelligent Matching for Time Series Data
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AAAI
2000
13 years 6 months ago
Multivariate Clustering by Dynamics
We present a Bayesian clustering algorithm for multivariate time series. A clustering is regarded as a probabilistic model in which the unknown auto-correlation structure of a tim...
Marco Ramoni, Paola Sebastiani, Paul R. Cohen
AAAI
2010
13 years 6 months ago
Fast Algorithms for Top-k Approximate String Matching
Top-k approximate querying on string collections is an important data analysis tool for many applications, and it has been exhaustively studied. However, the scale of the problem ...
Zhenglu Yang, Jianjun Yu, Masaru Kitsuregawa
SDM
2010
SIAM
202views Data Mining» more  SDM 2010»
13 years 3 months ago
Multiresolution Motif Discovery in Time Series
Time series motif discovery is an important problem with applications in a variety of areas that range from telecommunications to medicine. Several algorithms have been proposed t...
Nuno Castro, Paulo J. Azevedo
WILF
2007
Springer
170views Fuzzy Logic» more  WILF 2007»
13 years 10 months ago
Time-Series Alignment by Non-negative Multiple Generalized Canonical Correlation Analysis
Background: Quantitative analysis of differential protein expressions requires to align temporal elution measurements from liquid chromatography coupled to mass spectrometry (LC/M...
Bernd Fischer, Volker Roth, Joachim M. Buhmann
CPM
2005
Springer
206views Combinatorics» more  CPM 2005»
13 years 10 months ago
A Fast Algorithm for Approximate String Matching on Gene Sequences
Abstract. Approximate string matching is a fundamental and challenging problem in computer science, for which a fast algorithm is highly demanded in many applications including tex...
Zheng Liu, Xin Chen, James Borneman, Tao Jiang