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CDMA 2020 : 6th Int’l Conference on Data Science and Machine Learning Applications (CDMA 2020)

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Link: http://www.ieeepsu.org/cdma
 
When May 3, 2020 - May 5, 2020
Where Riyadh, Saudi Arabia
Submission Deadline Oct 15, 2019
Notification Due Dec 15, 2019
Final Version Due Jan 1, 2020
Categories    data science   machine learning   computer science
 

Call For Papers

March 4-5, 2019, Prince Sultan University, Riyadh Saudi Arabia
Website: www.ieeepsu.org/cdma Email: cdma@ieeepsu.org

The 6th International Conference on Data Science and Machine Learning Applications is aimed to gather researchers and Applications developers from a wide range of Data Science related areas such as data analytics, computational intelligence, machine learning, deep learning, pattern recognition, databases, Big Data and Visualization. The Conference will provide opportunities for technical collaboration among data science and machine learning researchers, developers and practitioners in Saudi Arabia, GCC countries and Middle-East region. Acceptance will be based primarily on originality, significance and quality of contribution. All submissions with undergo a blind peer review process before acceptance and possible inclusion in the proceedings of the conference.

Topics of Interest
• Applications of Data Science: Applications of data science in domains including Parallel and advanced Databases, Social Networks, Web, Bioinformatics, Finance, Healthcare, Security etc.
• Big Data: Distributed data mining and machine learning platforms and algorithms, systems for large-scale data analytics of textual and graph data, large-scale machine learning systems, distributed computing (cloud, map-reduce, MPI), large-scale optimization, and novel statistical techniques for big data.
• Data Science: Methods for analyzing scientific and business data, social network analysis, recommender systems, mining sequences, time series analysis, online advertising, bioinformatics, systems biology, text/web analysis, mining temporal and spatial data, and multimedia processing.
• Data Analytics: Business analytics, Credit Scoring and Financial Modeling, Forecasting, Fraud Detection, Web Intelligence and Information Retrieval, Marketing, Business Intelligence, and e-Commerce, Decision Analysis and Decision Support Systems

Submission of Manuscript
Authors are invited to submit full-length manuscript using the submission Link. The maximum length of manuscript is 6 pages with IEEE template using double column format including headers, figures, tables and appendices. All submissions would undergo single blind review process prior to acceptance for possible publication in the conference proceedings. The authors should prepare their manuscripts in accordance with the IEEE Conference Template. Manuscripts should be written in clear English language. The submissions should contain original results of research that are related to the theory, design, implementation, application, exploitation, maintenance or evaluation aspects of the conference main topics. Only the papers that have not been published or presented in any way will be accepted for CDMA2020. Authors of accepted papers would be invited to submit the camera-ready version of the paper using the IEEE pdf eXpress to produce IEEE Explore compatible manuscripts.
Note: Manuscripts will be checked for plagiarism and multiple publications using IEEE CrossCheck. Submitting authors will be checked have they been prohibited from publishing with any or all IEEE publications using The IEEE Prohibited Authors List (PAL) Database. The conference submission system only accepts manuscripts in PDF A4 format.
Publication of Proceedings
All accepted papers will be included in the proceedings of the conference. The proceedings would be submitted to IEEE Xplore and is expected to be indexed by EI, Scopus and other relevant indexing databases.

Author Registration and Paper presentation
At least one author of the accepted paper must register and present the paper at the conference for a possible inclusion of the paper in the conference proceedings. Registration fees can be paid at the conference registration desk. More details are provided at the conference website.

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