ISSN: 1683-3198
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e-ISSN: 2309-4524
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DOI: 10.34028/iajit
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The International Arab Journal of Information Technology
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Statistics
Turning Point Induced Knowledge Forecasting under Uncertainties (TrIK)
Jagtap Vinyak,Kulkarni Parag,Joshi Pallavi
#Time series forecasting
#shoulder area
#turning point
#knowledge discovery
#surprise
#uncertainty
Usage of Statistical Techniques to Monitor the Performance of Wind Turbines
Aditya Dubey,Pradeep Yadav,Subhash Chandra Patel
#AEP
#sigmoid
#RELU
#softmax
#TANH
#wind power curve model
#statistical model
Turning Point Induced Knowledge Forecasting under Uncertainties (TrIK)
Jagtap Vinyak,Kulkarni Parag,Joshi Pallavi
#Time series forecasting
#shoulder area
#turning point
#knowledge discovery
#surprise
#uncertainty
Usage of Statistical Techniques to Monitor the Performance of Wind Turbines
Aditya Dubey,Pradeep Yadav,Subhash Chandra Patel
#AEP
#sigmoid
#RELU
#softmax
#TANH
#wind power curve model
#statistical model
Identifying Product Features from Customer Reviews Using Hybrid Patterns
# Opinion mining
# features extraction
# syntactic rela tion
# context dependency
Haneen AlWazan1, Kais Ibraheem2, and AbdulGhafoor Salim1
#Fuzzy time series forecasting
# genetic algorithms p rediction
An Efficient Traffic Forecasting System Based on Spatial Data and Decision Trees
# Traffic flow
# traffic prediction
# spatial data min ing
# spatial data base
# see5
Forecasting of Chaotic Time Series Using RBF
Faculty of Engineering and Information Technology, Arab American University, Palestine
#Time series forecasting
# RBF neural networks
# genetic algorithms
# hybrid approach
Financial Time Series Forecasting Using Hybrid
School of Computing, University Union, Serbia
#Time-series forecasting
# wavelet packet transform
# neural networks
A Hybrid Approach for Modeling Financial Time Series
Faculty of Mathematics and Computer Science, Ovidi us University from Constanta, Romania
# Financial time series
# forecasting
# ARMA
# GEP
# hybr id methodology
Parameter Tuning of Neural Network for Financial Time Series Forecasting
Zeinab Fallahshojaei1 and Mehdi Sadeghzadeh2 1Department of Computer Engineering, Buin Zahra Branch, Islamic Azad University, Buin Zahra, Iran 2Department of Computer Engineering, Mahshahr Branch, Islamic Azad University, Mahshahr, Iran
#Financial times series forecasting
# parameter setting
# NN
# HS
# parameter adaptation
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