37 search results - page 2 / 8 » Time-series clustering by approximate prototypes |
EDBT
2004
ACM
14 years 5 months ago
2004
ACM
We present a novel anytime version of partitional clustering algorithm, such as k-Means and EM, for time series. The algorithm works by leveraging off the multi-resolution property...
KDD
2007
ACM
14 years 6 months ago
2007
ACM
Time series motifs are approximately repeated patterns found within the data. Such motifs have utility for many data mining algorithms, including rule-discovery, novelty-detection...
IS
2008
13 years 5 months ago
2008
We propose a dimensionality reduction technique for time series analysis that significantly improves the efficiency and accuracy of similarity searches. In contrast to piecewise c...
AAAI
2000
13 years 7 months ago
2000
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...
ICDE
2005
IEEE
14 years 7 months ago
2005
IEEE
Efficiently and accurately searching for similarities among time series and discovering interesting patterns is an important and non-trivial problem. In this paper, we introduce a...