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» Online discovery and maintenance of time series motifs
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AAAI
2007
13 years 7 months ago
Discovering Multivariate Motifs using Subsequence Density Estimation and Greedy Mixture Learning
The problem of locating motifs in real-valued, multivariate time series data involves the discovery of sets of recurring patterns embedded in the time series. Each set is composed...
David Minnen, Charles Lee Isbell Jr., Irfan A. Ess...
KDD
2012
ACM
205views Data Mining» more  KDD 2012»
11 years 7 months ago
Searching and mining trillions of time series subsequences under dynamic time warping
Most time series data mining algorithms use similarity search as a core subroutine, and thus the time taken for similarity search is the bottleneck for virtually all time series d...
Thanawin Rakthanmanon, Bilson J. L. Campana, Abdul...
DEXAW
2009
IEEE
135views Database» more  DEXAW 2009»
13 years 8 months ago
Motif Discovery in Brain Networks of Patients with Somatoform Pain Disorder
Idiopathic chronic pain disorders constitude a large, clinically important health care problem that urgently needs deeper pathophysiological insight. The understanding which brain ...
Annahita Oswald, Bianca Wackersreuther
ICDE
2009
IEEE
148views Database» more  ICDE 2009»
14 years 6 months ago
Online Interval Skyline Queries on Time Series
In many applications, we need to analyze a large number of time series. Segments of time series demonstrating dominating advantages over others are often of particular interest. In...
Bin Jiang, Jian Pei
ISWC
2006
IEEE
13 years 11 months ago
Discovering Characteristic Actions from On-Body Sensor Data
We present an approach to activity discovery, the unsupervised identification and modeling of human actions embedded in a larger sensor stream. Activity discovery can be seen as ...
David Minnen, Thad Starner, Irfan A. Essa, Charles...