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» On exploiting the power of time in data mining
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FLAIRS
2007
13 years 7 months ago
Mining Sequences in Distributed Sensors Data for Energy Production
The desire to predict power generation at a given point in time is essential to power scheduling, energy trading, and availability modeling. The research conducted within is conce...
Mehmed M. Kantardzic, John Gant
KDD
2012
ACM
205views Data Mining» more  KDD 2012»
11 years 8 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...
KDD
2008
ACM
178views Data Mining» more  KDD 2008»
14 years 5 months ago
iSAX: indexing and mining terabyte sized time series
Current research in indexing and mining time series data has produced many interesting algorithms and representations. However, it has not led to algorithms that can scale to the ...
Jin Shieh, Eamonn J. Keogh
EDBT
2009
ACM
165views Database» more  EDBT 2009»
13 years 3 months ago
Exploiting the power of relational databases for efficient stream processing
Stream applications gained significant popularity over the last years that lead to the development of specialized stream engines. These systems are designed from scratch with a di...
Erietta Liarou, Romulo Goncalves, Stratos Idreos
ICCS
2007
Springer
13 years 11 months ago
Inaccuracies of Shape Averaging Method Using Dynamic Time Warping for Time Series Data
Shape averaging or signal averaging of time series data is one of the prevalent subroutines in data mining tasks, where Dynamic Time Warping distance measure (DTW) is known to work...
Vit Niennattrakul, Chotirat Ann Ratanamahatana