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ML&DataAnalytics 2022 : Call for Springer book Chapters ''Machine learning and data analytics for solving business problems: methods, applications, and case studies.'', Springer (USA)


When Jan 1, 2022 - Jun 15, 2022
Where Springer
Abstract Registration Due Dec 31, 2021
Submission Deadline Feb 15, 2022
Notification Due Apr 1, 2022
Final Version Due May 1, 2022
Categories    machine learning   data analytics   business problems   decision making

Call For Papers

Dear colleagues,

We would like to invite you to contribute a chapter for our upcoming book entitled “Machine learning and data analytics for solving business problems: methods, applications, and case studies. ” to be published by Springer at the end of the year 2022.

Book submission website:

Below is a short description of the book:


This book will highlight state of the art and challenges related to the design and the application of machine learning and data-analytics methods to solve decision-making problems faced by a business. These problems may prevent a firm from achieving goals and may threat its long-term survival. Examples of these common challenges are product positioning, brand recognition, customers personalization, business models, operational processes evaluation, supply chain management, resources planning, financial situation analysis, etc.

In order to support manager in solving these decision problems, innovative and creative computational solutions and data analytics methods has been proposed which are based on recent supervised and unsupervised learning approaches. The proposed solutions aim to make efficient the enterprise computing environment and provide innovative, real-time, and cost-effective solutions which helps to boost business performance and improves its bottom line. The recent business computing and data analytics techniques designed and applied to address business problems will be reviewed and discussed. The main topics covered are:

• 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
• Supervised and unsupervised methods applied in banking
• Analysis of Blockchain Data
• 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


Important Dates

Submission of abstracts: January 10, 2022
Notification of initial editorial decisions: January 15, 2022
Submission of full-length chapters: February 15, 2022
Notification of final editorial decisions: April 01, 2022
Submission of revised chapters: Mai 01, 2022



All submissions should be done via EasyChair:

Original artwork and a signed copyright release form will be required for all accepted chapters. For author instructions, please visit:

It is especially important that you use the following Springer book template :


• Word:

Feel free to contact the book editors via email (;;;; ‎ ) regarding your chapter ideas.


Dr. Bader Alyoubi,
Dr. Chiheb-Eddine Ben N’Cir,
Dr. Ibraheem Alharbi
Pr. Anis Jarboui

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