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» Pattern recognition to forecast seismic time series
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KDD
2005
ACM
160views Data Mining» more  KDD 2005»
14 years 8 months ago
Optimizing time series discretization for knowledge discovery
Knowledge Discovery in time series usually requires symbolic time series. Many discretization methods that convert numeric time series to symbolic time series ignore the temporal ...
Alfred Ultsch, Fabian Mörchen
CORR
2010
Springer
85views Education» more  CORR 2010»
13 years 7 months ago
The Motif Tracking Algorithm
: The search for patterns or motifs in data represents a problem area of key interest to finance and economic researchers. In this paper we introduce the Motif Tracking Algorithm, ...
William O. Wilson, Phil Birkin, Uwe Aickelin
AUSDM
2007
Springer
145views Data Mining» more  AUSDM 2007»
14 years 1 months ago
Temporal Pattern Matching for the Prediction of Stock Prices
Time series data poses a significant variation to the traditional segmentation techniques of data mining because the observation is derived from multiple instances of the same und...
Richi Nayak, Paul te Braak
AMAI
1999
Springer
13 years 7 months ago
Pattern recognition by an optical thin-film multilayer model
This paper describes a computational learning model inspired by the technology of optical thin-film multilayers from the field of optics. With the thicknesses of thin-film layers ...
Xiaodong Li, Martin K. Purvis
CORR
2010
Springer
109views Education» more  CORR 2010»
13 years 7 months ago
Oil Price Trackers Inspired by Immune Memory
We outline initial concepts for an immune inspired algorithm to evaluate and predict oil price time series data. The proposed solution evolves a short term pool of trackers dynami...
William O. Wilson, Phil Birkin, Uwe Aickelin