Themes

The International Conference on Intelligent Data Engineering and Automated Learning (IDEAL) is an annual international conference dedicated to emerging and challenging topics in intelligent data science and data mining and their associated learning systems and paradigms. Its core themes or topics include: 

• Big Data Analytics

• Machine Learning & Deep Learning

• Data Mining

• Information Retrieval and Management

• Bio- and Neuro-Informatics

• Bio-Inspired Models (including Neural Networks, Evolutionary Computation and Swarm Intelligence)

• Agents and Hybrid Intelligent Systems

• Real-world Applications of Intelligent Techniques and AI

Other related and emerging themes and topics are also welcome.

The conference provides a unique opportunity and stimulating forum for presenting and discussing the latest theoretical advances and real-world applications in Computational Intelligence and Intelligent Data Analysis. Authors and researchers are warmly invited to submit their latest findings and research work to the conference.

Potential session/workshop organizers are invited to enlist potential papers in a cohesive topic for their special session(s)/workshops. Proposals and enquiries can be sent to PC Co-chair, Paulo Quaresma [pq@uevora.pt]

All submitted papers will be peer-reviewed rigorously and accepted papers will be included in the conference proceedings, to be published by Springer-Nature in their prestigious Lecture Notes in Computer Science series. 

All submitted papers will have opportunities to be nominated and selected, based on peer-review, for the Best Paper Awards in several categories, to be sponsored by Springer-Nature and IEEE CIS UK& Ireland Chapter. 

Authors of selected accepted papers from IDEAL 2023 will be invited to submit an extended and improved version for consideration for several journals as fast track papers or Special Issues - details to follow.