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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Predictive Data Mining Models

Predictive Data Mining Models

Olson, David L.
Wu, Desheng

Hardcover

Series: Computational Risk Management

Business GeneralDatabases

ISBN10: 9811396639
ISBN13: 9789811396632
Publisher: Springer Nature
Published: Aug 21 2019
Pages: 125
Weight: 0.83
Height: 0.38 Width: 6.14 Depth: 9.21
Language: English
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.

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