The 7th International Workshop on Data Science Engineering and its Applications (DSEA 2023), Abu Dhabi, UAE. November 21-24, 2023.

*The 7th International Workshop on Data Science Engineering and its Applications (DSEA 2023) * http://emergingtechnet.org/SNAMS2023/Workshops/DSEA2023/ Abu Dhabi, UAE. November 21-24, 2023. *(Technically Co-Sponsored by IEEE UAE Section)* *DSEA 2023 Workshops CFP* Today, Data is becoming an increasingly decisive resource in modern societies, economies, and governmental organizations. Data science inspires novel techniques and theories drawn from mathematics, statistics, information theory, computer science, and social science. It involves many domains, such as signal processing, probability models, machine learning, data mining, database, data engineering, pattern recognition, visualization, predictive analytic, data warehousing, data compression, computer programming, etc. High Performance Computing typically deals with smaller, highly structured data sets and huge amounts of computation. Data Science has emerged to tackle the problem of creating processes and approaches to extracting knowledge or insights from gigantic, unstructured data sets.The International Workshop for Data Science Engineering and Applications (DSEA 2023) aims to provide a forum that brings together researchers, industry practitioners and domain experts for discussion and exchange of ideas on the latest theoretical developments in Data Science and Computing as well as on the best practices for a wide range of applications. The topics of interest for this workshop include, but are not limited to: - Architecture, management and process for Data Science - Big Data Mining and Knowledge Management - Evaluation and Measurement in Data Science - Privacy and protection standards and policies for Data Science - Data Quality - Data science for the internet of things (IoT) - Management Issues of Social Network Big Data - Big Data Computing for Data science/li> - Social Network and Big Data Analytics - Open Source tools for Data Science and Big Data - Data Mining for Data science - High performance computing for data analytic - Mathematical Issues in Data Science and Application *All accepted papers will be published in the SNAMS conference proceedings and submitted to IEEE for publication. * *Submissions Guidelines and Proceedings* Manuscripts should be prepared in 10-point font using the IEEE 8.5" x 11" two-column format (IEEE Templates <https://www.ieee.org/conferences_events/conferences/publishing/templates.html>). All papers should be in PDF format, and submitted electronically at Paper Submission Link. A full paper must not exceed the stated length (including all figures, tables and references). Submitted papers must present original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines may be rejected without review. Also submissions received after the due date, exceeding length limit, or not appropriately structured may also not be considered. Authors may contact the Program Chair for further information or clarification. All submissions are peer-reviewed by at least three reviewers. Accepted papers will appear in the SNAMS Proceedings, and be submitted to IEEE for inclusion. Submitted papers must include original work, and must not be under consideration for another conference or journal. Submission of regular papers must not exceed 8 pages and must follow the IEEE paper format. Please include up to 7 keywords, complete postal and e-mail address, and fax and phone numbers of the corresponding author. Authors of accepted papers are expected to present their work at the conference. Submitted papers that are deemed of good quality but that could not be accepted as regular papers will be accepted as short papers. Length of short papers *Important Dates* *Submission Date: 13 October 2023 (Firm and Final) * Notification to Authors: 25 October 2023 Camera Ready and Registration: 5 November 2023 Please send any inquiry to the SNAMS at: emergingtechnetwork@gmail.com
participants (1)
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Gizem Varkonyi