[图书][B] Temporal data mining
T Mitsa - 2010 - taylorfrancis.com
Temporal data mining deals with the harvesting of useful information from temporal data.
New initiatives in health care and business organizations have increased the importance of …
New initiatives in health care and business organizations have increased the importance of …
A neural network-based fuzzy time series model to improve forecasting
THK Yu, KH Huarng - Expert Systems with Applications, 2010 - Elsevier
Neural networks have been popular due to their capabilities in handling nonlinear
relationships. Hence, this study intends to apply neural networks to implement a new fuzzy …
relationships. Hence, this study intends to apply neural networks to implement a new fuzzy …
TAIEX forecasting based on fuzzy time series and fuzzy variation groups
SM Chen, CD Chen - IEEE Transactions on Fuzzy Systems, 2010 - ieeexplore.ieee.org
In this paper, we present a new method to forecast the daily Taiwan Stock Exchange
Capitalization Weighted Stock Index (TAIEX) based on fuzzy time series and fuzzy variation …
Capitalization Weighted Stock Index (TAIEX) based on fuzzy time series and fuzzy variation …
Multi-variable fuzzy forecasting based on fuzzy clustering and fuzzy rule interpolation techniques
SM Chen, YC Chang - Information sciences, 2010 - Elsevier
In this paper, we present a new method for multi-variable fuzzy forecasting based on fuzzy
clustering and fuzzy rule interpolation techniques. First, the proposed method constructs …
clustering and fuzzy rule interpolation techniques. First, the proposed method constructs …
Fuzzy forecasting based on fuzzy-trend logical relationship groups
SM Chen, NY Wang - IEEE transactions on systems, man, and …, 2010 - ieeexplore.ieee.org
In this paper, we present a new method to predict the Taiwan Stock Exchange Capitalization
Weighted Stock Index (TAIEX) based on fuzzy-trend logical relationship groups (FTLRGs) …
Weighted Stock Index (TAIEX) based on fuzzy-trend logical relationship groups (FTLRGs) …
Adaptive neural network model for time-series forecasting
In this study, a novel adaptive neural network (ADNN) with the adaptive metrics of inputs and
a new mechanism for admixture of outputs is proposed for time-series prediction. The …
a new mechanism for admixture of outputs is proposed for time-series prediction. The …
Temperature prediction and TAIFEX forecasting based on fuzzy relationships and MTPSO techniques
In this paper, we proposed a modified turbulent particle swarm optimization (named MTPSO)
method for the temperature prediction and the Taiwan Futures Exchange (TAIFEX) …
method for the temperature prediction and the Taiwan Futures Exchange (TAIFEX) …
A fuzzy integrated logical forecasting model for dry bulk shipping index forecasting: An improved fuzzy time series approach
O Duru - Expert Systems with Applications, 2010 - Elsevier
This study develops an improved fuzzy time series method via adjustment of the latest value
factor and previous error patterns. There are many fuzzy extended applications in the …
factor and previous error patterns. There are many fuzzy extended applications in the …
Adaptive time-variant models for fuzzy-time-series forecasting
WK Wong, E Bai, AWC Chu - IEEE Transactions on Systems …, 2010 - ieeexplore.ieee.org
A fuzzy time series has been applied to the prediction of enrollment, temperature, stock
indices, and other domains. Related studies mainly focus on three factors, namely, the …
indices, and other domains. Related studies mainly focus on three factors, namely, the …
Application of fuzzy time series models for forecasting the amount of Taiwan export
HL Wong, YH Tu, CC Wang - Expert Systems with Applications, 2010 - Elsevier
The study proposed Traditional Time Series Method (ARIMA model and Vector ARMA
model) and Fuzzy Time Series Method (Two-factor model, Heuristic model, and Markov …
model) and Fuzzy Time Series Method (Two-factor model, Heuristic model, and Markov …