Business Analytics with R and Python

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Sprache: Englisch

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Beschreibung

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 analytics focuses on what has happened and predictive analytics extends statistical and/or artificial intelligence to provide forecasting capability. Chapter 1 provides an overview of business management problems. Chapter 2 describes how analytics and knowledge management have been used to better cope with these problems. Chapter 3 describes initial data visualization tools. Chapter 4 describes association rules and software support. Chapter 5 describes cluster analysis with software demonstration. Chapter 6 discusses time series analysis with software demonstration. Chapter 7 describes predictive classification data mining tools. Applications of the context of management are presented in Chapter 8. Chapter 9 covers prescriptive modeling in business and applications of artificial intelligence.

Über den Autor

David L. Olson is the James & H.K. Stuart Professor and Chancellor's Professor at the University of Nebraska. With over 200 refereed journal articles, his research focuses on multiple objective decision-making, information technology, and supply chain risk management. Teaching in management information systems, management science, and operations management, he has authored over 40 books, including titles on decision aids, information systems project management, and supply chain management. He is a Fellow of the Decision Sciences Institute.

Desheng Wu is a Distinguished Professor at the University of Chinese Academy of Sciences and a Professor at Stockholm University. He has published over 150 papers in journals such as Production and Operations Management, Decision Sciences, and Risk Analysis. With research interests in mathematical modeling, game theory, and large-scale optimization, he is a member of prestigious academic institutions including Academia Europaea and the European Academy of Sciences and Arts. Prof. Wu has received several notable awards and serves as an editor for various journals, including Risk Analysis and IEEE Transactions on Systems, Man, and Cybernetics.

Inhaltsverzeichnis

Data Mining in Business.- Data Mining Processes.- Data Mining Software.- Association Rules.- Cluster Analysis.-Regression Algorithms in Data Mining.- Classification Tools.- Variable Selection.- Dataset Balancing.

Details

Erscheinungsjahr:	2024
Fachbereich:	Anwendungs-Software
Genre:	Importe , Informatik
Rubrik:	Naturwissenschaften & Technik
Medium:	Buch
Reihe:	AI for Risks
Inhalt:	x 196 S. 7 s/w Illustr. 78 farbige Illustr. 196 p. 85 illus. 78 illus. in color.
ISBN-13:	9789819747719
ISBN-10:	9819747716
Sprache:	Englisch
Einband:	Gebunden
Autor:	Olson, David L. Wu, Desheng Dash Luo, Cuicui Nabavi, Majid
Hersteller:	Springer Springer Singapore AI for Risks
Verantwortliche Person für die EU:	Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com
Maße:	241 x 160 x 17 mm
Von/Mit:	David L. Olson (u. a.)
Erscheinungsdatum:	21.11.2024
Gewicht:	0,483 kg