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Predictive Data Mining Models (Computational Risk Management) book cover by David L. Olson, Desheng Wu
Paperback

Predictive Data Mining Models (Computational Risk Management)

by David L. Olson and Desheng Wu

$79.19 / copy at 25+ copies As low as $77.39 at 100+Your best volume price

Paperback · 125 pages Springer Nature Singapore · 2020

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About the book

Predictive Data Mining Models (Computational Risk Management)

This book provides an overview of predictive methods demonstrated by open source software modeling with Rattle (R’) and WEKA. Knowledge management involves application of human knowledge (epistemology) with the technological advances of our current society (computer systems) and big data, both in terms of collecting data and in analyzing it. We see three types of analytic tools. Descriptive analytics focus on reports of what has happened. Predictive analytics extend statistical and/or artificial intelligence to provide forecasting capability. It also includes classification modeling. Prescriptive analytics applies quantitative models to optimize systems, or at least to identify improved systems.  Data mining includes descriptive and predictive modeling.  Operations research includes all three. This book focuses on prescriptive analytics.

The book seeks to provide simple explanations and demonstration of some descriptive tools. This second editionprovides more examples of big data impact, updates the content on visualization, clarifies some points, and expands coverage of association rules and cluster analysis. Chapter 1 gives an overview in the context of knowledge management. Chapter 2 discusses some basic data types. Chapter 3 covers fundamentals time series modeling tools, and Chapter 4 provides demonstration of multiple regression modeling. Chapter 5 demonstrates regression tree modeling.  Chapter 6 presents autoregressive/integrated/moving average models, as well as GARCH models. Chapter 7 covers the set of data mining tools used in classification, to include special variants support vector machines, random forests, and boosting.  

Models are demonstrated using business related data. The style of the book is intended to be descriptive, seeking to explain how methods work, with some citations, but without deep scholarly reference. The data sets and software are all selected for widespread availability and access by any reader with computer links.



The book, Predictive Data Mining Models (Computational Risk Management) [Bulk, Wholesale, Quantity] ISBN#9789811396663 in Paperback by David L. Olson, Desheng Wu may be ordered in bulk quantities. Minimum starts at 25 copies. Availability based on publisher status and quantity being ordered.

Details

Publisher
Springer Nature Singapore
Authors
David L. Olson, Desheng Wu
Format
Paperback
Published
Aug 21, 2020
ISBN-13
9789811396663
Pages
125
Printing
Printed on demand
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