272 search results - page 19 / 55 » Unsupervised Outlier Detection in Time Series Data |
ICDM
2007
IEEE
14 years 1 months ago
2007
IEEE
Sensor networks have increased the amount and variety of temporal data available, requiring the definition of new techniques for data mining. Related research typically addresses...
EDBT
2006
ACM
14 years 7 months ago
2006
ACM
Similarity search in time series data is required in many application fields. The most prominent work has focused on similarity search considering either complete time series or si...
DPD
2002
13 years 7 months ago
2002
Data mining is a new, important and fast growing database application. Outlier (exception) detection is one kind of data mining, which can be applied in a variety of areas like mon...
ADMA
2006
Springer
14 years 1 months ago
2006
Springer
The problem of finding anomaly has received much attention recently. However, most of the anomaly detection algorithms depend on an explicit definition of anomaly, which may be i...
AAAI
2007
13 years 9 months ago
2007
The discovery of meaningful change points, finding segments, in both categorical and real-value data time series is a well-studied problem. Prior segmentation algorithms and task...