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...

Full description

Saved in:
Bibliographic Details
Main Author: Fu, Fangwei
Other Authors: Wang Lipo
Format: Final Year Project
Language:English
Published: 2014
Subjects:
Online Access:http://hdl.handle.net/10356/60500
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
Be the first to leave a comment!
You must be logged in first