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 analytics and associated learning systems and paradigms. Following the recent successful events: IDEAL2025 in Jaén (Spain), IDEAL2024 in Valencia (Spain), and IDEAL2023 in Évora (Portugal), the 27th edition, IDEAL2026 will be back in Manchester. Its core themes or topics include, but not limited to:
Big Data Analytics
Machine Learning & Deep Learning
Data Mining
Information Retrieval and Management
Bio and Neuro-Informatics
Bio-Inspired Models
Agents and Hybrid Intelligent Systems
Real-world Applications of Intelligent Techniques
Instructions for authors
Authors are invited to submit their manuscripts (in PDF format) written in English by the deadline via the conference online submission system (TBD). All submissions will be refereed by experts in the field based on originality, significance, quality and clarity. All contributions must be original, must not have been published elsewhere and must not have been submitted elsewhere during the review period. Papers should be within 9 pages (including references) but must not exceed 12 pages, and must comply with the format of Springer LNCS/LNAI Proceedings (see www.springer.com/lncs).
The Microsoft CMT service was used for managing the peer-reviewing process for this conference. This service was provided for free by Microsoft and they bore all expenses, including costs for Azure cloud services as well as for software development and support.
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