9th International Conference on Data Mining and Applications (DMAP 2023)

April 29 ~ 30, 2023, Copenhagen, Denmark

Due to the current COVID-19 pandemic, registered authors are now able to present their work through our online platforms New

Scope & Topics  Call for Participation     Program Schedule


9th International Conference on Data Mining and Applications (DMAP 2023) provides a forum for researchers who address this issue and to present their work in a peer-reviewed forum. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in Data mining and Applications.

Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas but are not limited to:

Topics of interest include, but are not limited to, the following:



Paper Submission

Authors are invited to submit papers through the conference Submission System by Closed.

Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the conference will be published by Computer Science Conference Proceedings in Computer Science & Information Technology (CS & IT) series (Confirmed).

Submit

Selected papers from DMAP 2023, after further revisions, will be published in the special issues of the following journals


Speakers


Ramyaalakshmi A

Vels Institute of Science Technology & Advanced Studies (VISTAS)

India 

Zhang Yili

Sun Yat-Sen University

China 

Xi Deng

National University of Defense 

Technology

China 

Dinesh Kalla

Colorado Technical University

USA 

Haokai Zhou

USA 

Yajing Liu

Information Engineering University

China 

Proceedings

Hard copy of the proceedings will be distributed during the Conference. The softcopy will be available on AIRCC Digital Library