K
Khean Thye Bea
Publications - 4
Citations - 70
Khean Thye Bea is an academic researcher. The author has contributed to research in topics: Computer science & Variance inflation factor. The author has an hindex of 3, co-authored 4 publications receiving 70 citations.
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Mitigating the Multicollinearity Problem and Its Machine Learning Approach: A Review
Jireh Yi-Le Chan,Steven Mun Hong Leow,Khean Thye Bea,Wai Khuen Cheng,Seuk Wai Phoong,Zeng-Wei Hong,Yen-Lin Chen +6 more
TL;DR: This study details the chronological developments to mitigate the effects of multicollinearity and up-to-date recommendations to better mitigate multicoll inearity.
Journal ArticleDOI
State of the art: a review of sentiment analysis based on sequential transfer learning
Journal ArticleDOI
A Correlation-Embedded Attention Module to Mitigate Multicollinearity: An Algorithmic Trading Application
Jireh Yi-Le Chan,Steven Mun Hong Leow,Khean Thye Bea,Wai Khuen Cheng,Seuk Wai Phoong,Zeng-Wei Hong,Jim-Min Lin,Yen-Lin Chen +7 more
TL;DR: The experimental result reveals that a neural network that can learn the relevance and redundancy of the financial data to improve the desired classification performance and the trading returns of the proposed MRM are 46% higher without sacrificing training time.
Journal ArticleDOI
A Review of Sentiment, Semantic and Event-Extraction-Based Approaches in Stock Forecasting
Wai Khuen Cheng,Khean Thye Bea,Steven Mun Hong Leow,Jireh Yi-Le Chan,Zeng-Wei Hong,Yen-Lin Chen +5 more
TL;DR: This study attempted to summarize and discuss the current text-based financial forecasting approaches in the aspect of semantic- based, sentiment-based, event-extraction-based and hybrid approaches, followed with their comparison and suitable application scenarios.