337 search results - page 19 / 68 » Mining Interval Time Series |
ICDM
2003
IEEE
2003
IEEE
Clustering of Time Series Subsequences is Meaningless: Implications for Previous and Future Research
14 years 2 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...
KDD
2006
ACM
14 years 10 months ago
2006
ACM
The problem of time series classification has attracted great interest in the last decade. However current research assumes the existence of large amounts of labeled training data...
ICDM
2007
IEEE
14 years 4 months ago
2007
IEEE
The problem of finding unusual time series has recently attracted much attention, and several promising methods are now in the literature. However, virtually all proposed methods...
GFKL
2007
Springer
14 years 1 months ago
2007
Springer
Research in the field of knowledge discovery from temporal data recently focused on a new type of data: interval sequences. In contrast to event sequences interval sequences contai...
SDM
2007
SIAM
13 years 11 months ago
2007
SIAM
Finding discords in time series database is an important problem in a great variety of applications, such as space shuttle telemetry, mechanical industry, biomedicine, and financ...