272 search results - page 1 / 55 » Unsupervised Outlier Detection in Time Series Data |
ICDE
2006
IEEE
13 years 10 months ago
2006
IEEE
Fraud detection is of great importance to financial institutions. This paper is concerned with the problem of finding outliers in time series financial data using Peer Group Analy...
ADBIS
2006
Springer
13 years 10 months ago
2006
Springer
The anomaly detection problem has important applications in the field of fraud detection, network robustness analysis and intrusion detection. This paper is concerned with the prob...
ICONIP
2004
13 years 5 months ago
2004
Recently, the Support Vector Regression (SVR) has been applied in the financial time series prediction. The financial data are usually highly noisy and contain outliers. Detecting ...
ICDE
2008
IEEE
14 years 5 months ago
2008
IEEE
In this paper, we present a new technique, called Stream Projected Ouliter deTector (SPOT), to deal with outlier detection problem in high-dimensional data streams. SPOT is unique ...
BMCBI
2005
13 years 4 months ago
2005
Background: Periodic phenomena are widespread in biology. The problem of finding periodicity in biological time series can be viewed as a multiple hypothesis testing of the spectr...