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» Statistical change detection for multi-dimensional data
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DASFAA
2008
IEEE
149views Database» more  DASFAA 2008»
13 years 5 months ago
A Test Paradigm for Detecting Changes in Transactional Data Streams
A pattern is considered useful if it can be used to help a person to achieve his goal. Mining data streams for useful patterns is important in many applications. However, data stre...
Willie Ng, Manoranjan Dash
SDM
2009
SIAM
343views Data Mining» more  SDM 2009»
14 years 1 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
ISD
1999
Springer
213views Database» more  ISD 1999»
13 years 8 months ago
A Probabilistic Approach to Environmental Change Detection with Area-Class Map Data
One of the primary methods of studying change in the natural and man-made environment is that of comparison of multi-date maps and images of the earth's surface. Such comparis...
Christopher B. Jones, J. Mark Ware, David R. Mille...
ICDM
2007
IEEE
140views Data Mining» more  ICDM 2007»
13 years 8 months ago
Sequential Change Detection on Data Streams
Model-based declarative queries are becoming an attractive paradigm for interacting with many data stream applications. This has led to the development of techniques to accurately...
S. Muthukrishnan, Eric van den Berg, Yihua Wu
ML
2010
ACM
142views Machine Learning» more  ML 2010»
13 years 2 months ago
Fast adaptive algorithms for abrupt change detection
We propose two fast algorithms for abrupt change detection in streaming data that can operate on arbitrary unknown data distributions before and after the change. The first algor...
Daniel Nikovski, Ankur Jain