Handbook on Decision Making

This book presents different techniques and methodologies used to improve the intelligent decision-making process and increase the likelihood of success in companies of different sectors such as Financial Services, Education, Supply Chain, Energy Systems, Health Services, and others.

The book contains and consolidates innovative and high-quality research contributions regarding the implementation of techniques and methodologies applied in different sectors. The scope is to disseminate current trends knowledge in the implementation of artificial intelligence techniques and methodologies in different fields such as: Logistics, Software Development, Big Data, Internet of Things, Simulation, among others. The book contents are useful for Ph.D. researchers, Ph.D. students, master and undergraduate students of different areas such as Industrial Engineering, Computer Science, Information Systems, Data Analytics, and others.

Presents recent trends and challenges in intelligent decision support systems Presents theoretical foundations, models, experiments, and case studies for intelligent systems decision-making Written by experts in the field

Contenu
A Vertical Fragmentation Method for Multimedia Databases Considering Content-based Queries.- An approach based on process mining techniques to support software development.