4 search results - page 1 / 1 » Clustering of Time Series Subsequences is Meaningless: Impli... |
ICDM
2003
IEEE
2003
IEEE
Clustering of Time Series Subsequences is Meaningless: Implications for Previous and Future Research
13 years 10 months ago
Given the recent explosion of interest in streaming data and online algorithms, clustering of time series subsequences, extracted via a sliding window, has received much attention...
FSKD
2005
Springer
13 years 10 months ago
2005
Springer
Discovery of interesting or frequently appearing time series patterns is one of the important tasks in various time series data mining applications. However, recent research critic...
BIBE
2003
IEEE
13 years 10 months ago
2003
IEEE
We develop a method for integrating time series expression profiles and factor-gene binding data to quantify dynamic aspects of gene regulation. We estimate latencies for transcr...
ICDM
2009
IEEE
13 years 11 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...