Predictive Data Mining Models (Paperback, Softcover reprint of the original 1st ed. 2017)

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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'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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Product Description

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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Product Details

General

Imprint

Springer Verlag, Singapore

Country of origin

Singapore

Series

Computational Risk Management

Release date

June 2018

Availability

Expected to ship within 10 - 15 working days

First published

2017

Authors

,

Dimensions

235 x 155 x 6mm (L x W x T)

Format

Paperback

Pages

102

Edition

Softcover reprint of the original 1st ed. 2017

ISBN-13

978-981-10-9645-7

Barcode

9789811096457

Categories

LSN

981-10-9645-7



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