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DEXA
2010
Springer
266views Database» more  DEXA 2010»
15 years 1 months ago
DBOD-DS: Distance Based Outlier Detection for Data Streams
Data stream is a newly emerging data model for applications like environment monitoring, Web click stream, network traffic monitoring, etc. It consists of an infinite sequence of d...
Md. Shiblee Sadik, Le Gruenwald
ICASSP
2008
IEEE
15 years 6 months ago
A factor graph approach to joint iterative data detection and channel estimation in pilot-assisted IDMA transmissions
We consider a pilot-assisted interleave-division multiple access (IDMA) system transmitting over block-fading channels. We describe this system in terms of a factor graph and use ...
Clemens Novak, Gerald Matz, Franz Hlawatsch
VLDB
2004
ACM
129views Database» more  VLDB 2004»
15 years 5 months ago
Detecting Change in Data Streams
Detecting changes in a data stream is an important area of research with many applications. In this paper, we present a novel method for the detection and estimation of change. In...
Daniel Kifer, Shai Ben-David, Johannes Gehrke
SDM
2009
SIAM
343views Data Mining» more  SDM 2009»
15 years 9 months ago
Change-Point Detection in Time-Series Data by Direct Density-Ratio Estimation.
Change-point detection is the problem of discovering time points at which properties of time-series data change. This covers a broad range of real-world problems and has been acti...
Masashi Sugiyama, Yoshinobu Kawahara
ICDM
2010
IEEE
185views Data Mining» more  ICDM 2010»
14 years 9 months ago
Detecting Non-compliant Consumers in Spatio-Temporal Health Data: A Case Study from Medicare Australia
This paper describes our experience with applying data mining techniques to the problem of fraud detection in spatio-temporal health data in Medicare Australia. A modular framework...
Kee Siong Ng, Yin Shan, D. Wayne Murray, Alison Su...