3th International Conference on Data Mining and Applications (ICDMA 2019)

3th International Conference on Data Mining and Applications (ICDMA 2019)

July 27 ~ 28, 2019,Bangalore, India..

http://flyccs.com/Conference/ICDMA/index.html

Scope

3th International Conference on Data Mining and Applications (ICDMA 2019) 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 :

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

Paper Submission

Authors are invited to submit papers through conference Submission System by May 18,2019. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference.

Extended Papers

• International Journal of Computer Science and Technology (IJCST)
• International Journal of Information Technology and Management(IJIT)
• Computer Networks & Communications : an International Journal(CNCIJ)
• International Journal of Mobile ad hoc and sensor networks(IJMSN)

Important Dates

• Submission Deadline : May 18, 2019
• Notification : June 18, 2019
• Final Manuscript Due : June 23, 2019
• Publication Date : Determined by the Editor-in-Chief
• TO SUBMIT YOUR PAPER, PLEASE CLICK THE FOLLOWING LINK : Submission System