Machine Learning and Data Analytics for Solving Business Problems

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.

Bader Alyoubi is full Professor of Management Information Systems and Dean of the College of Business at the University of Jeddah, Saudi Arabia. His research interests include decision support systems and knowledge management methods and its application in business, government, and health domains. He is the author and co-author of more than 50 publications in the field of specialization. He established the Saudi Center for the Preparation and Empowerment of Entrepreneurs at the University of Jeddah. He has many contributions to the structuring of colleges and scientific disciplines at the University of Jeddah and Chairman of several committees. 



 Chiheb Ediine ben Ncir received his Ph.D in Computer science & management from Higher Institute of Management, University of Tunis, in 2014 and a HDR degree (Habilitation for the Supervision of Doctoral Research) in 2021. He occupied the position of Assistant professor at the Higher School of Digital Economy (University of Manouba, Tunisia) from 2015 to 2018. Currently, he is an Associate Professor at the University of Jeddah, Saudi Arabia and a member of LARODEC laboratory (University of Tunis). He is also a business intelligence and big data instructor at IBM North Africa and Middle East. His research interests concern machine learning methods and data mining tools with a special emphasis on Big data clustering, disjoint and non-disjoint partitioning, kernel methods, as well as many other related fields. He is the author or co-author of more than 50 publications in several prestigious journals and conferences. He is a regular reviewer for many refereed international journals and co-editor of some Springer books.

Ibraheem Mubarak Alharbi received a BA degree from King Abdul Aziz University, Saudi Arabia, in 2002, a Master's and PhD degree from La Trobe University, Australia, in 2009. Currently, he serves as Associate Professor in the Department of Management Information