Predictive data mining models

• 作者： Olson, David L., author.
• 其他作者：
  • Wu, Desheng, author.
  • SpringerLink (Online service)
• 其他題名：
  • Computational risk management.
• 出版： Singapore : Springer Singapore :Imprint: Springer
• 叢書名： Computational risk management,
• 主題： Risk management. , Business. , Big data. , Data mining. , Business and Management. , Big Data/Analytics. , Data Mining and Knowledge Discovery. , Risk Management.
• ISBN： 9789811025433 (electronic bk.) 、 9789811025426 (paper)
• FIND@SFXID: CGU
• 資料類型: 電子書
• 內容註: 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.
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• 摘要註: 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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