International Conference on Data Mining and Software Engineering (DMSE 2020)
September 26 ~ 27, 2020, Copenhagen, Denmark

WIKICFP Call :http://www.wikicfp.com/cfp/servlet/event.showcfp?eventid=111118&copyownerid=33993

DBWORLD Call :http://www.cs.wisc.edu/dbworld/messages/2020-08/1597292447.html

Scope & Topics
International Conference on Data Mining and Software Engineering (DMSE 2020) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Data mining and Software Engineering. The goal of this conference is to bring together researchers and practitioners from academia and industry to focus on understanding Data mining and modern software engineering concepts and establishing new collaborations in these areas.

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 areas of data mining and software engineering.

Topics of interest include, but are not limited to, the following
• Advanced Topics in Software Engineering
• Data Mining Applications
• Computer Education
• Data Mining in Modeling, Visualization, Personalization and Recommendation
• Data Mining Systems and Platforms, Efficiency, Scalability and Privacy
• Embedded System and Software
• Foundations, Algorithms, Models, and Theory
• Knowledge Processing
• Knowledge-based Systems and Formal Methods
• Languages and Formal Methods
• Managing Software Projects
• Mining Text, Semi-Structured, Spatio-Temporal, Streaming, Graph, Web, Multimedia
• Multimedia and Visual Software Engineering
• Quality Management
• Search Engines and Information Retrieval
• Software Engineering Decision Making
• Software Engineering Practice
• Software Maintenance and Testing
• Software Process
• Web Engineering
• Web-based Education Systems and Learning Applications

Accepted Papers List

Learning for E-Learning-Aalen University, Germany.
Magnetic Resonance Image Classification of Major Depression Disorder Based on Deep Learning-Beijing Technology and Business University, Beijing, China
COSM: Controlled Over-sampling Method. A Methodological Proposal to Overcome the Class Imbalance Problem in Data Mining-CIRA (Italian Aerospace Research Centre),Italy
A Process for Complete Autonomous Software Display Validation And Testing (Using A Car-cluster)-SAP Labs India Pvt Lmt.,India
Analysis of the Displacement of Terrestrial Mobile Robots in Corridors Using Paraconsistent Annotated Evidential Logic Et-Bialystok University of Technology,Poland
A Study on the Minimum Requirements for the On-line, Efficient and Robust Validation of Neutron Detector Operation and Monitoring of Neutron Noise Signals using Harmony Theory Networks-University of Piraeus, France
Penalized Bootstrapping for Reinforcement Learning in Robot Control-University of Bonn,Germany
Deep Reinforcement Learning for Navigation in Cluttered Environments-University of Bonn, Germany
New Hybrid Artificial Intelligent Models Basedon Optimized-support Vector Machine and Locallylinear Neuro fuzzy for the Supplier Assessment Problem-Islamic Azad University, Iran
IoT Learning Model for Smart Universities: Architecture, Challenges, and Applications-Whitecliffe College of Technology & Innovation, New Zealand
The Principles of the Law General on the Protection of Personal Data and their Importance-Paulista University, Brazil.
Controlled Machine Text Generation of Football Articles-University of Warsaw, Poland
On the Comparison of Deep Neural Networks for Document Retrieval-Institute for Community Medicine, Germany
Evaluationn of Company Investment value based on Machine Learning-Beijing University of Technology, China
Performance evaluation of Precoded Band Codes and Hamming Norm Decoders in Random Linear Network Coding-National Engineering School of Tunis, Tunisia
Neurological Signals Compression and Encryption for Security Transmission Based on IOMT: A Tele-neurological Diagnosis-University of Anbar, Iraq.

Paper Submission
Authors are invited to submit papers through the conference Submission System . 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).

Here’s where you can reach us : dmse@dmse2020.org or dmsesecretary@gmail.com

Submit your work Today!

Regards,
Fredrick.