Predictive Data Mining Models

This book reviews forecasting data mining models, from basic tools for stable data through causal models, to more advanced models using trends and cycles. These models are demonstrated on the basis of business-related data, including stock indices, crude oil prices, and the price of gold. The book’s...

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Bibliographic Details
Main Authors: Olson, David L. (Author), Wu, Desheng (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: Singapore : Springer Singapore : Imprint: Springer, 2017.
Series:Computational Risk Management,
Subjects:
Online Access:Full Text via HEAL-Link
Table of Contents:
  • Chapter 1 Knowledge Management
  • Chapter 2 Data Sets
  • Chapter 3 Basic Forecasting ToolsChapter 3 Basic Forecasting Tools
  • Chapter 4 Multiple Regression
  • Chapter 5 Regression Tree Models
  • Chapter 6 Autoregressive Models
  • Chapter 7 GARCH Models
  • Chapter 8 Comparison of Models.