4th International Conference on Data Mining (DTMN 2018)
July 28~29, 2018,Sydney, Australia
***** The invited talk proposals can be submitted to dtmnconf@csity2018.org
Scope & Topics
4th International Conference on Data Mining (DTMN 2018) 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.All submissions must describe original research, not published or currently under review for another conference or journal.
Topics of Interest :
- Data Mining Applications
- Data Mining in Modeling, Visualization, Personalization and Recommendation
- Data Mining Systems and Platforms, Efficiency, Scalability and Privacy
- Foundations, Algorithms, Models, and Theory
- Mining Text, Semi-Structured, Spatio-Temporal, Streaming, Graph, Web, Multimedia
- Knowledge Processing
- Embedded System and Software
Paper Submission
Authors are invited to submit papers through the Submission System by June 24, 2018. 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).
Selected papers from DTMN 2018, after further revisions, will be published in the special issue of the following journals
Important Dates
| Submission Deadline | : | June 24, 2018 |
| Authors Notification | : | July 10, 2018 |
| Final Manuscript Due | : | July 15, 2018 |
Co – Located Event
from CFPs on Artificial Intelligence : WikiCFP https://ift.tt/2JN9QFf
Collective Intelligence 