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Predictive data mining models

Olson, David L.

Predictive data mining models

Record Type:	Electronic resources : Monograph/item
Title/Author:	Predictive data mining modelsby David L. Olson, Desheng Wu.
Author:	Olson, David L.
other author:	Wu, Desheng.
Published:	Singapore :Springer Singapore :2017.
Description:	xi, 102 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Risk management.
Online resource:	http://dx.doi.org/10.1007/978-981-10-2543-3
ISBN:	9789811025433$q(electronic bk.)

Predictive data mining models
Olson, David L.

Predictive data mining models[electronic resource] /by David L. Olson, Desheng Wu. - Singapore :Springer Singapore :2017. - xi, 102 p. :ill., digital ;24 cm. - Computational risk management,2191-1436. - Computational risk management..

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.

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.

ISBN: 9789811025433$q(electronic bk.)

Standard No.: 10.1007/978-981-10-2543-3doiSubjects--Topical Terms:

174339
Risk management.

LC Class. No.: HD61 / .O47 2017

Dewey Class. No.: 658.155

Predictive data mining models
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520 $a 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.
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