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CBMS
2005
IEEE
14 years 3 months ago
A Practical Tool for Visualizing and Data Mining Medical Time Series
The increasing interest in time series data mining has had surprisingly little impact on real world medical applications. Practitioners who work with time series on a daily basis ...
Li Wei, Nitin Kumar, Venkata Nishanth Lolla, Eamon...
GECCO
2005
Springer
151views Optimization» more  GECCO 2005»
14 years 3 months ago
The application of antigenic search techniques to time series forecasting
Time series have been a major topic of interest and analysis for hundreds of years, with forecasting a central problem. A large body of analysis techniques has been developed, par...
Ian Nunn, Tony White
TKDE
2008
178views more  TKDE 2008»
13 years 10 months ago
Efficient Similarity Search over Future Stream Time Series
With the advance of hardware and communication technologies, stream time series is gaining ever-increasing attention due to its importance in many applications such as financial da...
Xiang Lian, Lei Chen 0002
MINENET
2006
ACM
14 years 4 months ago
Toward sophisticated detection with distributed triggers
Recent research has proposed efficient protocols for distributed triggers, which can be used in monitoring infrastructures to maintain system-wide invariants and detect abnormal ...
Ling Huang, Minos N. Garofalakis, Joseph M. Heller...
KDD
2003
ACM
156views Data Mining» more  KDD 2003»
14 years 10 months ago
Mining distance-based outliers in near linear time with randomization and a simple pruning rule
Defining outliers by their distance to neighboring examples is a popular approach to finding unusual examples in a data set. Recently, much work has been conducted with the goal o...
Stephen D. Bay, Mark Schwabacher