Predictive Data Mining Models

Language: English

Published by Springer, Springer Aug 2019, 2019

9811396639 / 9789811396632

Series: Book 9 of 10 - Computational Risk Management

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This item is printed on demand - Print on Demand Titel. Neuware -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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 140 pp. Englisch.

Seller Inventory # 9789811396632

Title
Predictive Data Mining Models
Author
David L. Olson
Publisher
Springer, Springer Aug 2019
Publication year
2019
Condition
Neu
Binding
Buch
Language
English
ISBN 10
9811396639
ISBN 13
9789811396632
Edition
2nd Edition
Item weight
383 grams
Dimensions
241x160x14 mm
Series
Book 9 of 10: Computational Risk Management

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

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