Predictive Data Mining Models

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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&#...

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Bibliographic Details
Main Authors: Olson, David L. (Author), Wu, Desheng (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: Singapore : Springer Singapore : Imprint : Springer, 2017.
Series:Computational risk management.
Physical Description:
1 online resource (XI, 102 pages 54 illustrations, 48 illustrations in color.) : online resource.
Subjects:
Data mining.
Business -- Data processing.
Business forecasting.
Business.
Big data.
Risk management.
Management -- Data processing.
Online Access:SpringerLink - Click here for access
Description
Summary: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.
Physical Description:
1 online resource (XI, 102 pages 54 illustrations, 48 illustrations in color.) : online resource.
ISBN:9789811025433
9811025436
ISSN:2191-1436.

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