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ICDM
2002
IEEE
130views Data Mining» more  ICDM 2002»
13 years 9 months ago
Unsupervised Segmentation of Categorical Time Series into Episodes
This paper describes an unsupervised algorithm for segmenting categorical time series into episodes. The VOTING-EXPERTS algorithm first collects statistics about the frequency an...
Paul R. Cohen, Brent Heeringa, Niall M. Adams
IDA
2001
Springer
13 years 9 months ago
An Algorithm for Segmenting Categorical Time Series into Meaningful Episodes
This paper describes an unsupervised algorithm for segmenting categorical time series. The algorithm first collects statistics about the frequency and boundary entropy of ngrams, t...
Paul R. Cohen, Niall M. Adams
DCC
2005
IEEE
14 years 4 months ago
The Markov Expert for Finding Episodes in Time Series
We describe a domain-independent, unsupervised algorithm for refined segmentation of time series data into meaningful episodes, focusing on the problem of text segmentation. The V...
Jimming Cheng, Michael Mitzenmacher
AAAI
2007
13 years 7 months ago
UNDERTOW: Multi-Level Segmentation of Real-Valued Time Series
The discovery of meaningful change points, finding segments, in both categorical and real-value data time series is a well-studied problem. Prior segmentation algorithms and task...
Tom Armstrong, Tim Oates
ICMLA
2008
13 years 6 months ago
A Bayesian Approach to Switching Linear Gaussian State-Space Models for Unsupervised Time-Series Segmentation
Time-series segmentation in the fully unsupervised scenario in which the number of segment-types is a priori unknown is a fundamental problem in many applications. We propose a Ba...
Silvia Chiappa