Ebooks de David L. Olson en PDF et EPUB

9 Livre(s)
Télécharger le livre : Business Analytics with R and Python
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Business Analytics with R and Python
Desheng Dash Wu , Cuicui Luo , Majid Nabavi , David L. Olson
This book provides an overview of data mining methods in the field of business. Business management faces challenges in serving customers in better ways, in identifying risks, and analyzing the impact of decisions. Of the three types of analytic tools, descriptive...

Editeur : Springer
Parution : 2024-07-30

PDF, ePub

94,94 €
Télécharger le livre : Project Management Tools
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Project Management Tools
David L. Olson
This book is devoted to presenting models that have been applied in project management. There are a variety of project domains. We discuss engineering/construction projects, software development projects, massive projects to include governmental undertakings, and...

Editeur : Springer
Parution : 2024-04-05

PDF, ePub

94,94 €
Télécharger le livre : Data Mining and Analytics in Healthcare Management
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Data Mining and Analytics in Healthcare Management
Özgür M. Araz , David L. Olson
This book presents data mining methods in the field of healthcare management in a practical way. Healthcare quality and disease prevention are essential in today’s world. Healthcare management faces a number of challenges, e.g. reducing patient growth through disease...

Editeur : Springer
Parution : 2023-04-20
Collection : International Series in Operations Research & Management Science
PDF, ePub

68,56 €
Télécharger le livre : Deskriptives Data-Mining
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Deskriptives Data-Mining
Georg Lauhoff , David L. Olson
Dieses Buch bietet einen Überblick über Data-Mining-Methoden, die durch Software veranschaulicht werden. Beim Wissensmanagement geht es um die Anwendung von menschlichem Wissen (Erkenntnistheorie) mit den technologischen Fortschritten unserer heutigen Gesellschaft...

Editeur : Springer Gabler
Parution : 2023-02-02

PDF, ePub

69,01 €
Télécharger le livre : TOPSIS and its Extensions: A Distance-Based MCDM Approach
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TOPSIS and its Extensions: A Distance-Based MCDM Approach
David L. Olson , Hsu-Shih Shih
The objective of the book is to provide materials to demonstrate the development of TOPSIS and to serve as a handbook. It contains the basic process of TOPSIS, numerous variant processes, property explanations, theoretical developments, and illustrative examples with...

Editeur : Springer
Parution : 2022-09-07
Collection : Studies in Systems, Decision and Control
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94,94 €
Télécharger le livre : Predictive Data Mining Models
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Predictive Data Mining Models
David L. Olson , Desheng Wu
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...

Editeur : Springer
Parution : 2019-08-07
Collection : Computational Risk Management
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84,39 €
Télécharger le livre : Descriptive Data Mining
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Descriptive Data Mining
Georg Lauhoff , David L. Olson
This book provides an overview of data mining methods demonstrated by software. 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...

Editeur : Springer
Parution : 2019-05-06
Collection : Computational Risk Management
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137,14 €
Télécharger le livre : Descriptive Data Mining
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Descriptive Data Mining
David L. Olson
This book offers an overview of knowledge management. It starts with an introduction to the subject, placing descriptive models in the context of the overall field as well as within the more specific field of data mining analysis. Chapter 2 covers data visualization,...

Editeur : Springer
Parution : 2016-12-09
Collection : Computational Risk Management
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105,49 €
Télécharger le livre : Predictive Data Mining Models
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Predictive Data Mining Models
David L. Olson , Desheng Wu
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...

Editeur : Springer
Parution : 2016-09-26
Collection : Computational Risk Management
PDF, ePub

94,94 €