Special lssues
Table of Content

Advanced Data Science Technology for Intelligent Decision Systems

Submission Deadline: 30 November 2024 Submit to Special Issue

Guest Editors

Dr. Quanwang Wu, Chongqing University, China
Dr. Yishui Zhu, Chang'an University, China
Dr. Jialei Liu, Hubei University of Arts and Science, China
Dr. Jabar Mahmood, University of Sialkot, Pakistan


Data science is an interdisciplinary field that combines statistics, scientific methods, mathematics, and algorithms to extract knowledge and meaningful insights from structured and unstructured data. As an emerging discipline, data science aggregates several research topics including data analytics, data security, privacy, data mining, databases, etc. 

Intelligent decision systems make extensive use of artificial intelligence (AI) techniques to serve decision makers like a sophisticated human consultant: gathering and analysing evidence, identifying and diagnosing problems, proposing possible courses of action and evaluating such proposed actions. Data science plays a critical role in building knowledge bases for such systems by extracting, representing and reasoning knowledge. Furthermore, the extrapolated knowledge from typically large data sets can be generalized to solve problems in a wide range of application domains.

This Special Issue highlights the state-of-the-art data science technologies for intelligent decision systems. It also discusses and exchanges recent innovations, developments, and challenges in knowledge representation, automated reasoning, and hybrid intelligent decision systems, e.g., applying the knowledge base, big data, machine learning in industry, engineering, science, automation & robotics, business & finance. This special issue is intended for multidisciplinary scientists with a research interest in advanced data science technologies and intelligent decision systems covering the applications of artificial intelligence, machine learning, deep learning, etc.


Artificial Intelligence for Engineering Applications
Data Mining and Knowledge Discovery
Domain Analysis and Knowledge Modeling
Decision Support Systems
Data Engineering
Database technology for AI
Expert systems
Intelligent Information Systems
Intelligent Computing Systems
Knowledge Representation
Machine Learning for Data Science
Social Network and Information Diffusion

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