123 search results - page 7 / 25 » Characteristic-Based Clustering for Time Series Data |
EDBT
2004
ACM
14 years 8 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 9 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...
BMCBI
2008
13 years 8 months ago
2008
Background: A typical step in the analysis of gene expression data is the determination of clusters of genes that exhibit similar expression patterns. Researchers are confronted w...
AAAI
2000
13 years 10 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...
ICDM
2009
IEEE
14 years 3 months ago
2009
IEEE
—Time series motifs are sets of very similar subsequences of a long time series. They are of interest in their own right, and are also used as inputs in several higher-level data...