Grammar-Based Feature Generation for Time-Series Prediction

This book proposes a novel approach for time-series prediction using machine learning techniques with automatic feature generation. Application of machine learning techniques to predict time-series continues to attract considerable attention due to the difficulty of the prediction problems compounde...

Full description

Bibliographic Details
Main Authors: De Silva, Anthony Mihirana (Author), Leong, Philip H. W. (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: Singapore : Springer Singapore : Imprint: Springer, 2015.
Series:SpringerBriefs in Applied Sciences and Technology,
Subjects:
Online Access:Full Text via HEAL-Link
Table of Contents:
  • Introduction
  • Feature Selection
  • Grammatical Evolution
  • Grammar Based Feature Generation
  • Application of Grammar Framework to Time-series Prediction
  • Case Studies
  • Conclusion.