IDEAL 2019 : Intelligent Data Engineering and Automated Learning Conference Series : Intelligent Data Engineering and Automated LearningManchester
|Event Date:||Nov 14, 2019 - Nov 16, 2019|
|Submission Deadline:||Jul 22, 2019|
|Notification of Acceptance:||Aug 19, 2019|
|Camera Ready Version Due :||Sep 1, 2019|
Call For Paper
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 analysis, data mining and their associated learning systems and paradigms. Its core themes include:
Big Data challenges
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 queries can be sent to [email@example.com].
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 (Easychair). All submissions will be refereed by experts in the field based on originality, significance, quality and clarity. All contributions must be original, should not have been published elsewhere and must not be submitted elsewhere during the review period. Papers should be within 8 pages but must not exceed 12 pages, and must comply with the format of Springer LNCS/LNAI Proceedings. (see www.springer.com/lncs )
Paper submission for IDEAL 2019 is via Easychair:
Call for Workshops and Special Sessions
In addition to the regular sessions, there are a few special sessions devoted to emerging topics and areas with growing attention - see IDEAL 2019 website for details. Researchers and prospective organizers are invited to submit a one-page proposal for a special session to the conference address [firstname.lastname@example.org]. Each proposal should include the following information:
• The title of the special session.
• The organizers with their affiliations.
• A description of why the topic is of special interest and how it fits to the scope of IDEAL.
Each special session preferably consists of four or more presentations. Special sessions receiving less than 4 papers will be merged into a suitable regular session.
Workshops focus on new and emerging topics. In contrast to special sessions, workshops should include an introductory talk or tutorial on the topic and will have final discussions at the end of the workshop. Apart from the introductory talk in the discussion, Workshops should preferably include six or more additional presentations. Researchers or prospective organisers are invited to submit a one-page proposals for workshops to the conference address [email@example.com]. In addition to the information required for special sessions, workshop proposal should also include the following:
• The name(s) of the presenter(s) of the introductory talk.
• A theme for the discussion.
Paper Submission and Review Process .
Paper submission is via the Easychair system as for the main track, accessible through the IDEAL 2019 website. The paper format of the Special Sessions or Workshops is the same as for the main track of the conference and so is their submission and review process (while each Special Session or Workshop can appoint its own reviewers if necessary, in additional to the main PC). All accepted papers will be included in the conference proceedings, to be published by Springer in its LNCS series - standard no-show policies apply.
OTHER DATA MINING EVENTS
OTHER MACHINE LEARNING EVENTS
OTHER BIG DATA EVENTS
OTHER NEURAL NETWORKS EVENTS