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Standing out from the crowd – An investigation of the signal attributes of Airbnb listings Journal article
International Journal of Contemporary Hospitality Management, 2019,Volume: 32
Authors:  Bin Yao;  Richard T.R. Qiu;  Daisy X.F. Fan;  Anyu Liu;  Dimitrios Buhalis
View  |  Adobe PDF(493Kb)  |  Favorite  |  View/Download:15/3  |  Submit date:2019/09/10
Signaling Theory  Big Data  Airbnb  Binomial Logistic Model  Booking Probability  Sequential Bayesian Updating  Sharing Economy  
Sparse Bayesian Variable Selection with Correlation Prior for Forecasting Macroeconomic Variable using Highly Correlated Predictors Journal article
COMPUTATIONAL ECONOMICS, 2018,Volume: 51,Issue: 2,Page: 323-338
Authors:  Aijun Yang;  Ju Xiang;  Lianjie Shu;  Hongqiang Yang
Favorite  |  View/Download:16/0  |  Submit date:2018/10/30
Sparse Bayesian Variable Selection  Correlation Prior  Highly Correlated Predictors  Out-of-sample Forecasting  
Forecasting energy consumption from smart home sensor network by deep learning Conference paper
Communications in Computer and Information Science
Authors:  Dey N.;  Fong S.;  Song W.;  Cho K.
Favorite  |  View/Download:7/0  |  Submit date:2019/02/13
Deep learning  Energy prediction  IoT smart home  Time-series forecasting  
Modelling and Trading the English and German Stock Markets with Novelty Optimization Techniques Journal article
JOURNAL OF FORECASTING, 2017,Volume: 36,Issue: 8,Page: 974-988
Authors:  Karathanasopoulos, Andreas;  Mitra, Sovan;  Skindilias, Konstantinos;  Lo, Chia Chun
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particle swarm optimization  radial basis function  confirmation filters  FTSE 100  DAX 30day trading  
A decomposition-and-ensemble forecasting method based on EMEMD and FWNN training by PSOSSO Conference paper
Authors:  Pan, Jianjia;  Tang, Yuan Yan;  Yang, Lina;  IEEE
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forecasting  empirical mode decomposition  fuzzy wavelet neural network  PSOSSO  
A novel forecasting method based on multi-order fuzzy time series and technical analysis Journal article
Information Sciences, 2016,Volume: 367-368,Page: 41-57
Authors:  Ye F.;  Zhang L.;  Zhang D.;  Fujita H.;  Gong Z.
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Financial Forecasting  Fuzzy Time Series  Genetic Algorithm  Technical Analysis  
Exploiting the interpretability and forecasting ability of the RBF-AR model for nonlinear time series Journal article
International Journal of Systems Science, 2016,Volume: 47,Issue: 8,Page: 1868-1876
Authors:  Gan M.;  Philip Chen C.L.;  Chen L.;  Zhang C.-Y.
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Forecasting  Modelling  State-dependent Model  Time Series  Varying Coefficient Model  
A forecasting method based on extrema mean empirical mode decomposition and wavelet neural network Conference paper
Proceedings - 2015 IEEE 2nd International Conference on Cybernetics, CYBCONF 2015, Gdynia, Poland, 24-26 June 2015
Authors:  Pan J.;  Zheng X.;  Yang L.;  Wang Y.;  Yuan H.;  Tang Y.Y.
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Empirical Mode Decomposition  Forecasting  Wavelet Neural Network  
Evolutionary computation with multi-variates hybrid multi-order fuzzy time series for stock forecasting Conference paper
2014 IEEE 17th International Conference on Computational Science and Engineering, Chengdu, China, 19-21 Dec. 2014
Authors:  Shanhong Wan;  Defu Zhang;  Yain-Whar Si
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Genetic Algorithm  Multi-variates Hybrid Multiorder Fuzzy Time Series  Stock Forecasting  
Prediction of Major Earthquakes as Rare Events Using RF-Typed Polynomial Neural Networks Book chapter
出自: Encyclopedia of Information Science and Technology, Third Edition:IGI Global, 2015
Authors:  Fong, Simon;  Deb, Suash
Favorite  |  View/Download:4/0  |  Submit date:2019/07/24
Neural Networks  Autoregressive Integrated Moving Average Model (Arima)  Time-series  Hurst Factor  Goodness-of-fit  Curve Fitting