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＜電子ブック＞
Machine Learning and Data Analytics for Solving Business Problems : Methods, Applications, and Case Studies / edited by Bader Alyoubi, Chiheb-Eddine Ben Ncir, Ibraheem Alharbi, Anis Jarboui
(Unsupervised and Semi-Supervised Learning. ISSN:25228498)

版	1st ed. 2022.
出版者	(Cham : Springer International Publishing : Imprint: Springer)
出版年	2022
大きさ	XII, 206 p. 50 illus., 38 illus. in color : online resource
著者標目	Alyoubi, Bader editor Ben Ncir, Chiheb-Eddine editor Alharbi, Ibraheem editor Jarboui, Anis editor SpringerLink (Online service)
件　名	LCSH:Telecommunication LCSH:Statistics  LCSH:Computational intelligence LCSH:Artificial intelligence FREE:Communications Engineering, Networks FREE:Statistics in Business, Management, Economics, Finance, Insurance FREE:Computational Intelligence FREE:Artificial Intelligence
一般注記	Introduction -- Supervised and unsupervised methods for customer segmentation -- Supervised and unsupervised methods for supply chain management -- Supervised and unsupervised methods for logistics improvement -- Design of recommender systems -- Supervised and unsupervised methods for e-marketing -- Analysis of Blockchain data -- Supervised and unsupervised methods applied in banking -- Cryptocurrency analysis -- Supervised and unsupervised methods to improve operational processes -- Big data analysis and summarization -- Intelligent Financial analysis and sales forecasting -- Financial data modeling and decision making -- Integration of learning methods in Smart ERP systems -- E-commerce recommender systems -- Social media and E-business analysis -- Intelligent Business control and monitoring systems -- Conclusion This book presents advances in business computing and data analytics by discussing recent and innovative machine learning methods that have been designed to support decision-making processes. These methods form the theoretical foundations of intelligent management systems, which allows for companies to understand the market environment, to improve the analysis of customer needs, to propose creative personalization of contents, and to design more effective business strategies, products, and services. This book gives an overview of recent methods – such as blockchain, big data, artificial intelligence, and cloud computing – so readers can rapidly explore them and their applications to solve common business challenges. The book aims to empower readers to leverage and develop creative supervised and unsupervised methods to solve business decision-making problems. Provides design and applications of machine learning and data analytics to solve business problems; Includes applications of supervised and unsupervised learning methods in intelligent management systems; Introduces case studies of business problems solved using innovative learning methods and data analytics techniques HTTP:URL=https://doi.org/10.1007/978-3-031-18483-3

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