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Deep learning model for house price prediction using heterogeneous data analysis along with joint self-attention mechanism
Pei Ying Wang
, Chiao Ting Chen
, Jain Wun Su
, Ting Yun Wang
,
Szu-Hao Huang
資訊管理與財務金融學系
研究成果
:
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87
引文 斯高帕斯（Scopus）
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Keyphrases
House Price Prediction
100%
Deep Learning Model
100%
Self-attention Mechanism
100%
Heterogeneous Data Analysis
100%
Taipei
50%
Transaction Data
50%
Attention Mechanism
50%
Machine Learning Models
50%
Self-attention Model
50%
Public Facilities
50%
Satellite Map
50%
Deep Machine Learning
25%
Result Prediction
25%
Deep Learning
25%
Prediction Error
25%
Selling Price
25%
Attention Model
25%
House Buyers
25%
Popular Topics
25%
Prediction Precision
25%
Application Programming Interface
25%
Google Maps
25%
Mass Rapid Transit System
25%
Gradient Boosting Machine
25%
Extreme Gradient Boosting
25%
Facility Data
25%
Speech Task
25%
Light Gradient
25%
Real Estate Transactions
25%
End Joint
25%
Import Data
25%
Translation Task
25%
Computer Science
Heterogeneous Data
100%
Attention (Machine Learning)
100%
Transaction Data
100%
Deep Learning Model
100%
Self-Attention Mechanism
100%
Public Facility
100%
Machine Learning
100%
Learning System
100%
Deep Learning Method
100%
Experimental Result
50%
Surrounding Environment
50%
Prediction Error
50%
Extreme Gradient Boosting
50%
Real Estate
50%
Application Programming Interface
50%
Engineering
Joints (Structural Components)
100%
Deep Learning Method
100%
Learning System
66%
Experimental Result
33%
Acquired Data
33%
Prediction Error
33%
Surrounding Environment
33%
Google Maps
33%
Selling Price
33%
Application Programming Interface
33%
Mathematics
Deep Learning Method
100%
Selling Price
33%
Prediction Error
33%
Experimental Data
33%
STN
33%
Google Maps
33%
Light Gradient
33%
Chemical Engineering
Deep Learning Method
100%
Learning System
66%