Feature selection methods for financial engineering

Feature selection methods for financial engineering

I experiment with a well-recognized filter-wrapper hybrid feature selection method – minimal-Redundancy-Maximal-Relevance Criterion feature selection refined by a wrapper using Support Vector Machines. I apply this hybrid method to predict the stock trend on 10 indexes on Singapore’s own...

Saved in:

書目詳細資料
主要作者:	Fu, Fangwei
其他作者:	Wang Lipo
格式:	Final Year Project
語言:	English
出版:	2014
主題:	DRNTU::Engineering::Computer science and engineering
在線閱讀:	http://hdl.handle.net/10356/60500
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

相似書籍

Feature selection methods for financial engineering
由: He, Yuqing.
出版: (2013)

Feature selection methods for financial engineering
由: Sridhar, Ashwin
出版: (2015)

Feature selection methods for financial engineering
由: Ye, Shuhong
出版: (2017)

A feature selection method for multivariate performance measures
由: Mao, Qi, et al.
出版: (2013)

Graph embedding based feature selection
由: Wei, Dan., et al.
出版: (2013)

Online feature selection for mining big data
由: Hoi, Steven C. H., et al.
出版: (2013)

Evolutionary computation for financial engineering
由: Kapoor, Mrinal.
出版: (2009)

Memetic algorithms for feature/gene selection
由: Zhu, Zexuan
出版: (2008)

Efficient visualization of functions and derivatives in financial engineering
由: Tan, Toh Fei.
出版: (2008)

Structured prediction for feature selection and performance evaluation
由: Mao, Qi
出版: (2014)

A novel neuro-fuzzy method for linguistic feature selection and rule-based classification
由: Narissara Eiamkanitchat, et al.
出版: (2018)

Towards ultrahigh dimensional feature selection for big data
由: Tan, Mingkui, et al.
出版: (2014)

Feature selection method for traffic prediction
由: Zhang, Guokuan
出版: (2016)

Development of feature engineering tools for multivariate time series
由: Poh, Kang Yu
出版: (2021)

Non-traditional visualization in financial engineering for efficient portfolio management
由: Xiong, Fei.
出版: (2008)

Study of feature selection for angle-closure glaucoma detection
由: Gercke, Norman.
出版: (2013)

A robust and interpretable feature selection pipeline
由: Krishnan, Nithya
出版: (2021)

Information theoretic feature selection clustering
由: Quan, Yu Teng.
出版: (2012)

Efficient model and feature selection for SVM in biomedical data analysis
由: Zhao, Ying.
出版: (2008)

Innovative feature selection methods for bioinformatics
由: Yan, Lin
出版: (2012)

Self-organizing cortical processing with visual feature selection for pattern recognition
由: Nguwi, Yok Yen
出版: (2011)

Application of feature selection algorithms in gene expression data analysis
由: Wang, Ruiping.
出版: (2010)

Portfolio selection using feature selection approach
由: Dai, Zerui
出版: (2024)

Impact of feature selection and kernel functions in classification for image acquisition forensics
由: Chua, Shaun Ming Jun.
出版: (2012)

Numerical methods for financial engineering
由: Wu, Guan
出版: (2021)

Domain adaption via feature selection on explicit feature map
由: Deng, Wan-Yu, et al.
出版: (2020)

HPC-enabled GA-SVM feature selection model for large-scale data
由: Tay, Darwin Jia Xian.
出版: (2009)

Alternating direction implicit finite-difference method for financial engineering
由: Wang, Dong
出版: (2012)

Feature representation and learning methods in visual search applications
由: Manandhar, Dipu
出版: (2019)

Feature selection for demand forecasting incorporating external covariates
由: Mantri, Raghav
出版: (2021)

Feature selection for classification applications in neural network pruning
由: Gong, Rui
出版: (2024)

EEG Feature Selection for Subjective Preference
由: Wichaya Wichienchai, et al.
出版: (2020)

Feature selection on transcriptome data for identification of novel biomarkers for bipolar disorder
由: Zeng, Yanxi
出版: (2021)

Development of semantic feature engineering for statistical analysis on parse ranking
由: Yin, Xiaocheng.
出版: (2013)

Feature selection for medical product demand forecasting with exogeneous variables using Google trend
由: Koh, Tzi Yong
出版: (2023)

Financial engineering approach for analysing property data problem
由: Chen, Zhen Liang.
出版: (2008)

Image retrieval using contour feature with rough set method
由: Pheerawit Wasinphongwanit, et al.
出版: (2018)

Optimal feature selection for learning-based algorithms for sentiment classification
由: Wang, Zhaoxia, et al.
出版: (2021)

Deep metric based feature engineering to Improve document-level representation for document clustering
由: Xu, Liwen
出版: (2022)

Cost-sensitive feature selection by optimizing F-measures
由: Liu, Meng, et al.
出版: (2020)