Predictive Data Mining Models
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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 Includes supplementary material: sn.pub/extras
Autor*in
David L. Olson
Themen in »Predictive Data Mining Models«
Business Analytics Data Mining Time Series Forecasting Open Source Software Knowledge Management Predictive Models Autoregressive Models GARCH R Software Matlab