2024 2nd International Conference on Data Mining, Neural Networks and Deep Learning (DMNNDL 2024)

Website: http://www.dmnndl.net/   

Venue: Chengdu China (both online and in-person)  

Conference Date: Oct. 25-27, 2024

2024 International Conference on Data Mining, Neural Networks and Deep Learning (DMNNDL 2024) will be held in Chengdu, China during Oct. 25-27, 2024. It is sponsored by The International Society for Applied Computing (ISAC) and The Technical Institute for Engineers (T.I.E.).

During the upcoming conference, the invited renowned professors will share with us the recent innovations in the fields of Data Mining, Neural Networks and Deep Learning. The conference will mainly feature on keynote speeches as well as peer-reviewed paper presentations. In addition, social program or academic visit will be arranged to encourage communication, discussion or cooperation among the researchers in this field.

We invite submissions of papers presenting an original high-quality research and development for the conference. All papers must be written in English and will be peer-reviewed by technical committees of the Conference and all accepted papers will be published in the conference proceedings.

*Conference Speakers:

Keynote Speaker I:

Prof. Kaushik Rajashekara, University of Houston, USA (IEEE Fellow)

Keynote Speaker II:

Prof. Udaya K. Madawala, The University of Auckland, New Zealand (IEEE Fellow)
Keynote Speaker III:

Prof. Robert Minasian, The University of Sydney, Australia (IEEE Life Fellow)

Keynote Speaker IV:

Prof. Qinghe Du, Xi'an Jiaotong University, China

*Call for papers:

Data processing

Image data mining

Agent-based data mining

Human, domain, organizational

and social factors in data mining

Scalable data preprocessing

Convolutional neural networks

Hebbian theory

Long short term memory

Residual neural networks

Self-organizing feature maps

Biological neural networks

Neuro-Fuzzy Algorithms

Evolutionary Methods

Convolutional Neural Networks (CNN)

Deep Hierarchical Networks (DHN)

Unsupervised Feature Learning

Deep Boltzmann Machines

Generative Adversarial Networks (GAN)

(for more topics: http://www.dmnndl.net/Call%20for%20Papers.html )

*Publication and indexing:

★DMNNDL 2024 all accepted papers will be published by ACM (ISBN: 979-8-4007-1019-3), which will be archived in the ACM Digital Library, and indexed by Ei Compendex and Scopus.

★DMNNDL 2023 conference proceedings have been published by ACM (ISBN: 979-8-4007-0762-9) and indexed by EI Compendex and Scopus successfully about 1 month after publication.

*Submission Methods:

1. Online Submission System: https://cmt3.research.microsoft.com/DMNNDL2024

2. Submission Email: [email protected]

Submission guidelines: http://www.dmnndl.net/Submission%20Guidelines.html

*Join the conference as:

Authors:

Authors are expected to submit full papers to the submission system for further review by our Technical Committees. All accepted papers after proper registration and presentation in the conference will be published and submitted for indexing.

Presenters Only:

The presenters are expected to submit abstracts only for presentation in the conference without paper publication in the conference proceedings.

Listeners:

Listeners are expected to attend the conference without paper presentation or publication.

Reviewers:

PhD-holders in the research fields of Data Mining, Neural Networks and Deep Learning are welcome to be our reviewers and a certificate can be issued.

Sponsors/Partners:

If you are interested in cooperating with us, such as sponsoring or being a partner of DMNNDL 2024, you are welcome to contact us at: [email protected]   

*Contact us:

Website: http://www.dmnndl.net/

Conference Secretary: Ms. Grace Lee

Tel: (+852) 6359 2147

Email: [email protected]

If you have any question or request about our conference, no matter regarding submission, registration, participation or any further question, please send email to us and you will get feedback within 24 hours.