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» A simple method of forecasting based on fuzzy time series
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EVOW
2009
Springer
14 years 2 months ago
Predicting Turning Points in Financial Markets with Fuzzy-Evolutionary and Neuro-Evolutionary Modeling
Two independent evolutionary modeling methods, based on fuzzy logic and neural networks respectively, are applied to predicting trend reversals in financial time series, and their...
Antonia Azzini, Célia da Costa Pereira, And...
CORR
2006
Springer
95views Education» more  CORR 2006»
13 years 7 months ago
A Markov Chain based method for generating long-range dependence
This paper describes a model for generating time series which exhibit the statistical phenomenon known as long-range dependence (LRD). A Markov Modulated Process based upon an inf...
Richard G. Clegg, Maurice Dodson
ALGORITHMICA
2007
132views more  ALGORITHMICA 2007»
13 years 7 months ago
On the Feasibility of Time Estimation under Isolation Conditions in Wireless Sensor Networks
We study the problem of providing a sensor with an accurate estimate of the time, from a novel perspective which is complementary to the well-studied clock synchronization problem....
Daniela Tulone
WINE
2005
Springer
268views Economy» more  WINE 2005»
14 years 1 months ago
Mining Stock Market Tendency Using GA-Based Support Vector Machines
In this study, a hybrid intelligent data mining methodology, genetic algorithm based support vector machine (GASVM) model, is proposed to explore stock market tendency. In this hyb...
Lean Yu, Shouyang Wang, Kin Keung Lai
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