232 search results - page 24 / 47 » T-Time: Threshold-Based Data Mining on Time Series |
SDM
2010
SIAM
13 years 9 months ago
2010
SIAM
We present a method for unsupervised discovery of abnormal occurrences of activities in multi-dimensional time series data. Unsupervised activity discovery approaches differ from ...
WMCSA
2003
IEEE
14 years 28 days ago
2003
IEEE
Emerging ubiquitous and pervasive computing applications often need to know where things are physically located. To meet this need, many locationsensing systems have been develope...
KDD
2000
ACM
13 years 11 months ago
2000
ACM
There has been much recent interest in adapting data mining algorithms to time series databases. Most of these algorithms need to compare time series. Typically some variation of ...
ANOR
2010
13 years 7 months ago
2010
Abstract Irregularities are widespread in large databases and often lead to erroneous conclusions with respect to data mining and statistical analysis. For example, considerable bi...
SDM
2007
SIAM
13 years 9 months ago
2007
SIAM
Time series are difficult to monitor, summarize and predict. Segmentation organizes time series into few intervals having uniform characteristics (flatness, linearity, modality,...