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» Marking Time in Sequence Mining
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ICDE
2008
IEEE
214views Database» more  ICDE 2008»
15 years 6 days ago
Efficient Online Subsequence Searching in Data Streams under Dynamic Time Warping Distance
Abstract- Data streams of real numbers are generated naturally in many applications. The technology of online subsequence searching in data streams becomes more and more important ...
Mi Zhou, Man Hon Wong
IDEAS
2008
IEEE
256views Database» more  IDEAS 2008»
14 years 5 months ago
WIDS: a sensor-based online mining wireless intrusion detection system
This paper proposes WIDS, a wireless intrusion detection system, which applies data mining clustering technique to wireless network data captured through hardware sensors for purp...
Christie I. Ezeife, Maxwell Ejelike, Akshai K. Agg...
SDM
2004
SIAM
214views Data Mining» more  SDM 2004»
14 years 7 days ago
Making Time-Series Classification More Accurate Using Learned Constraints
It has long been known that Dynamic Time Warping (DTW) is superior to Euclidean distance for classification and clustering of time series. However, until lately, most research has...
Chotirat (Ann) Ratanamahatana, Eamonn J. Keogh
PKDD
2005
Springer
142views Data Mining» more  PKDD 2005»
14 years 4 months ago
Speeding Up Logistic Model Tree Induction
Logistic Model Trees have been shown to be very accurate and compact classifiers [8]. Their greatest disadvantage is the computational complexity of inducing the logistic regressi...
Marc Sumner, Eibe Frank, Mark A. Hall
ICPR
2002
IEEE
14 years 12 months ago
Efficient Tracking of Regular Patterns on Non-Rigid Geometry
We introduce a real-time robust tracking procedure for a regular pattern marked on a flexible moving surface such as cloth. Our system is capable of maintaining the tracked grid s...
Igor Guskov