The 9th IEEE International Conference on Data Science and Advanced Analytics DSAA 2022

Event Serial: WCA406224

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13th Oct 2022 To 16th Oct 2022

The 9th IEEE International Conference on Data Science and Advanced Analytics DSAA 2022

Website:http://dsaa2022.dsaa.co

Contact Person - dsaa

Event inquiry /Organizer email address - dsaa2022@dsaa.co

Organized by: dsaa.co

Topic Covered: Artificial Intelligence, Robotics, Data Mining

  • Event Start Date - 13th Oct 2022
  • Deadline for abstracts/proposals: 15th May 2022
  • Event End Date - 16th Oct 2022

Venue: Shenzhen , China

About Event:

The 9th IEEE International Conference on Data Science and Advanced Analytics DSAA features its strong interdisciplinary synergy among statistics via ASA, computing and informationintelligence sciences via IEEE and ACM, and cross-domain interactions between academia and business for data science and analytics. DSAA sets up a high standard for its organizing committee, keynote speeches, submissions to main conference and special sessions, and a competitive rate for paper acceptance. DSAA has been widely recognized as a dedicated flagship annual meeting in data science and analytics by Google Metrics, Australian CORE ranking, and China Computer Foundation. DSAA\2022 provides a premier forum that brings together researchers, industry and government practitioners, as well as developers and users of big data solutions for the exchange of the latest theoretical advances in Data Science and the best practice for a wide range of applications. DSAA\2022 is a dual-track conference consisting of a Research Track and an Application Track. DSAA\2022 invites submissions of papers reporting innovative research on all aspects of data science and advanced analytics, as well as application-oriented papers that make original, significant, and reproducible contributions to improving the practice of data science and analytics in real-world scenarios. DSAA\2022 will also feature three Journal Tracks, a peer-reviewed Student Poster session, and an Industry Poster session, the purposes of which are to showcase the recent and early-stage research developments on topics that are of interest to students and industrygovernment practitioners in data science and analytics. Authors are encouraged to read the track descriptions carefully and to choose an appropriate track for their submissions. An Industry Track will form a forum for industry and government scientists to debate on the latest progress, opportunities, and directions. Research Track This track solicits the latest, original and significant contributions related to foundations and theoretical developments of Data Science and Advanced Analytics. Topics of interest include but are not limited to: Data science foundations and theories Mathematics and statistics for data science and analytics Understanding data characteristics and complexities Machinedeepstatistical learning-based algorithms Advanced analytics and knowledge discovery methods Computer vision and pattern recognition Optimization theories and methods Large-scale databases, big-data processing, distributed processing, and ethical analytics Model explainability and provenance Theories and methods for evaluation, explanation, visualization, and presentation Survey and review Application Track This track solicits high-quality, original papers presenting applications and best practices of Data Science and Advanced Analytics across various disciplines and domains, including business, government, health and medical science, physical sciences, and social sciences. Submissions are expected to address problems on real-life data and the results can ideally be reproducible through a public git repository. Also, submitted papers are expected to provide inspiring results to policy-makers, end-users, or practitioners of Data Science and Advanced Analytics or to highlight new challenges for researchers motivated by the specific needs and characteristics of application areas. Topics of interests include but are not limited to: Domain-specific data science and analytics practice, including business analytics, healthmedical analytics, financial analytics, and environmental analytics Government analytics and enterprise analytics Cloud, crowd, online, mobile and distributed data analytics Business, economic, environmental, social impact modeling Real-world applications, case studies and demonstrations Operationalizable infrastructures, platforms, and tools Deployment, management and policy-making Ethics, social issues, privacy, trust, fairness and bias Reflections and lessons for better practice Submissions for both the research and applications tracks should very clearly specify the problem being solved, what methodologies were used to solve the problem, what data was used, how the results were evaluated, and how the solution is being used ideally in production. Applying new data science methods to public data or data downloaded from competition sites such as Kaggle, without a real problem and problem owner will not be accepted in this track. Journal Tracks The journal tracks are with Machine Learning Journal: Foundations of Data Science International Journal of Data Science and Analytics: Theoretical and Practical Data Science and Analytics Submissions to these journal tracks should be made via the journal submission systems by selecting the corresponding journalspecial issue topics. Each paper can only be submitted to one journal, and duplicated submissions will be desk rejected. Accepted journal track papers are requested to 1 submit a two-page extended abstract in the IEEE format to DSAA\2022 which will be included in the conference proceeding, 2 register and present the paper at DSAA\2022. Paper Length, Formatting, and Reviewing The length of each paper submitted to the Research and Application tracks should be no more than 10 pages, whereas the maximum number of pages is 2 for each abstract submitted to the Poster and Journal track. Both types of papers should be formatted following the standard 2-column U.S. letter style of IEEE Conference template. See the IEEE Proceedings Author Guidelines: http:www.ieee.orgconferences_eventsconferencespublishingtemplates.html, for further information and instructions. All submissions will be double-blind reviewed by the Program Committee on the basis of technical quality, relevance to the scope of the conference, originality, significance, and clarity. The names and affiliations of authors must not appear in the submissions, and bibliographic references must be adjusted to preserve author anonymity. Submissions failing to comply with paper formatting and authors anonymity will be rejected without reviews. Authors are also encouraged to submit supplementary materials, i.e., providing the source code and data through a GitHub-like public repository to support the reproducibility of their research results. Electronic submission site: https:cmt3.research.microsoft.comDSAA2022 Important Policies Reproducibility: The advancement of science depends heavily on reproducibility. We strongly recommend that the authors release their code and data to the public. Authors can provide an optional two-page supplement at the end of their submitted paper it needs to be in the same PDF file and start at page 11. This supplement can only be used to include i information necessary for reproducing the experimental results reported in the paper e.g., various algorithmic and model parameters and configurations, hyper parameter search spaces, details related to data set filtering and traintest splits, software versions, detailed hardware configuration, etc., and ii any data, pseudo-code and proofs that could not be included in the main page of the manuscript due to space limitations. Papers with solid evidences for reproducibility are preferred for the Best Paper Award of a relevant track. Authorship: The list of authors at the time of submission is considered final and any further changes of the authorship are not allowed. Dual submissions: DSAA is an archival publication venue as such submissions that have been previously published, accepted, or are currently under consideration at other peer-review publication venues i.e., journals, conferences, workshops with published proceedings, etc are not permitted. Conflicts of interest COI: COIs must be declared at the time of submission. COIs include employment at the same institution within the past three years, collaborations during the past three years, advisoradvisee relationships, plus family and close friends. Program chairs, poster chairs, special session chairs, and tutorial chairs are not allowed to submit proposals to their organized tracks and sessions. Attendance: At least one of the authors of each accepted paper must register in full and attend the conference to present the paper. No-show papers will be removed from the IEEE Xplore proceedings. Important Dates Paper submission due: May 15, 2022 Special sessions submission due: June 1, 2022 Notification on acceptance: July 25, 2022 Special sessions notification: July 31, 2022 Camera ready submission: August 15, 2022



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