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 challenges
  • Machine 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 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 [].

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.