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ICDM
2007
IEEE
111views Data Mining» more  ICDM 2007»
13 years 11 months ago
Change-Point Detection in Time-Series Data Based on Subspace Identification
Yoshinobu Kawahara, Takehisa Yairi, Kazuo Machida
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
SSD
2005
Springer
153views Database» more  SSD 2005»
13 years 10 months ago
Change Detection in Time Series Data Using Wavelet Footprints
In this paper, we propose a novel approach to address the problem of change detection in time series data. Our approach is based on wavelet footprints proposed originally by the si...
Mehdi Sharifzadeh, Farnaz Azmoodeh, Cyrus Shahabi
VLDB
2007
ACM
179views Database» more  VLDB 2007»
14 years 4 months ago
Mining Approximate Top-K Subspace Anomalies in Multi-Dimensional Time-Series Data
Market analysis is a representative data analysis process with many applications. In such an analysis, critical numerical measures, such as profit and sales, fluctuate over time a...
Xiaolei Li, Jiawei Han
AIMDM
1999
Springer
13 years 9 months ago
Knowledge-Based Event Detection in Complex Time Series Data
This paper describes an approach to the detection of events in complex, multi-channel, high frequency data. The example used is that of detecting the re-siting of a transcutaneous ...
Jim Hunter, Neil McIntosh