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02540nam a22004935i 4500 |
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978-981-10-2543-3 |
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160926s2017 si | s |||| 0|eng d |
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|a 9789811025433
|9 978-981-10-2543-3
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|a 10.1007/978-981-10-2543-3
|2 doi
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|d GrThAP
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|a HF5548.125-HF5548.6
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|a KJQ
|2 bicssc
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|a BUS070030
|2 bisacsh
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|a 658.4038
|2 23
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|a Olson, David L.
|e author.
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|a Predictive Data Mining Models
|h [electronic resource] /
|c by David L. Olson, Desheng Wu.
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|a Singapore :
|b Springer Singapore :
|b Imprint: Springer,
|c 2017.
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300 |
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|a XI, 102 p. 54 illus., 48 illus. in color.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a text file
|b PDF
|2 rda
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|a Computational Risk Management,
|x 2191-1436
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|a 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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|a 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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650 |
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|a Business.
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|a Big data.
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|a Risk management.
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650 |
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|a Data mining.
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|a Business and Management.
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|a Big Data/Analytics.
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650 |
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|a Data Mining and Knowledge Discovery.
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650 |
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|a Risk Management.
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700 |
1 |
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|a Wu, Desheng.
|e author.
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710 |
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|a SpringerLink (Online service)
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773 |
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|t Springer eBooks
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776 |
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|i Printed edition:
|z 9789811025426
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830 |
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|a Computational Risk Management,
|x 2191-1436
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856 |
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|u http://dx.doi.org/10.1007/978-981-10-2543-3
|z Full Text via HEAL-Link
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912 |
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|a ZDB-2-BUM
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950 |
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|a Business and Management (Springer-41169)
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