Predictive Data Mining Models / by David L. Olson, Desheng Wu.
2017
HF5548.125-HF5548.6
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Details
Title
Predictive Data Mining Models / by David L. Olson, Desheng Wu.
Author
Olson, David L., author.
ISBN
9789811025433
9811025436
9811025428
9789811025426
9811025436
9811025428
9789811025426
Published
Singapore : Springer Singapore : Imprint : Springer, 2017.
Language
English
Description
1 online resource (XI, 102 pages 54 illustrations, 48 illustrations in color.) : online resource
Other Standard Identifiers
10.1007/978-981-10-2543-3 doi
Call Number
HF5548.125-HF5548.6
Dewey Decimal Classification
658.4038
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.
Access Note
Access limited to authorized users.
Digital File Characteristics
text file PDF
Added Author
Wu, Desheng, author.
Series
Computational risk management, 2191-1436
Available in Other Form
Print version: 9789811025426
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Online Access
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Table of Contents
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.
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.