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ICDE
2006
IEEE
169views Database» more  ICDE 2006»
14 years 9 days ago
Unsupervised Outlier Detection in Time Series Data
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...
Zakia Ferdousi, Akira Maeda
BMCBI
2005
120views more  BMCBI 2005»
13 years 6 months ago
Robust detection of periodic time series measured from biological systems
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...
Miika Ahdesmäki, Harri Lähdesmäki, ...
KDD
2009
ACM
347views Data Mining» more  KDD 2009»
14 years 6 months ago
Network anomaly detection based on Eigen equation compression
This paper addresses the issue of unsupervised network anomaly detection. In recent years, networks have played more and more critical roles. Since their outages cause serious eco...
Shunsuke Hirose, Kenji Yamanishi, Takayuki Nakata,...
BMCBI
2007
144views more  BMCBI 2007»
13 years 6 months ago
Spectral estimation in unevenly sampled space of periodically expressed microarray time series data
Background: Periodogram analysis of time-series is widespread in biology. A new challenge for analyzing the microarray time series data is to identify genes that are periodically ...
Alan Wee-Chung Liew, Jun Xian, Shuanhu Wu, David K...
RAID
2004
Springer
13 years 11 months ago
Anomalous Payload-Based Network Intrusion Detection
We present a payload-based anomaly detector, we call PAYL, for intrusion detection. PAYL models the normal application payload of network traffic in a fully automatic, unsupervised...
Ke Wang, Salvatore J. Stolfo