,

Predictive Data Mining Models

Specificaties
Paperback, blz. | Engels
Springer Nature Singapore | e druk, 2018
ISBN13: 9789811096457
Rubricering
Springer Nature Singapore e druk, 2018 9789811096457
Onderdeel van serie Computational Risk Management
Verwachte levertijd ongeveer 9 werkdagen

Samenvatting

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 main approach is above all descriptive, seeking to explain how the methods concretely work; as such, it includes selected citations, but does not go into deep scholarly reference. The data sets and software reviewed were selected for their widespread availability to all readers with internet access.

Specificaties

ISBN13:9789811096457
Taal:Engels
Bindwijze:paperback
Uitgever:Springer Nature Singapore

Inhoudsopgave

<div>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.</div><div><br></div>

Rubrieken

    Personen

      Trefwoorden

        Predictive Data Mining Models