David L. Olson Desheng Wu Olson Predictive Data Mining Models

Predictive Data Mining Models

von David L. Olson Desheng Wu

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Beschreibung

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.
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.
Includes detailed discussions of time series data and different characteristics that data may have
Describes data mining processes used in predictive modeling
Includes demonstrations of modeling with R and with Matlab


Autor*in

David L. Olson

Themen in »Predictive Data Mining Models«

Autoregressive Models Business Analytics Data Mining Forecasting GARCH Knowledge Management Matlab Open Source Software Predictive Models R Software Time Series

Stimmen zu »Predictive Data Mining Models«

Details

ISBN: 9789811025426
Verlag: Springer Singapore
Erscheinung: 05.10.2016

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