Machine Learning and Data Analytics for Solving Business Problems

Machine Learning and Data Analytics for Solving Business Problems

Methods, Applications, and Case Studies

Alyoubi, Bader; Ben Ncir, Chiheb-Eddine; Jarboui, Anis; Alharbi, Ibraheem

Springer International Publishing AG

12/2022

206

Dura

Inglês

9783031184826

15 a 20 dias

500

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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.
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Machine learning;Data analytics;Big Data;Cryptocurrencies analysis;Microfinance Analysis;Blockchain data analysis