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<div class="ContentPasted0">************************BigDataSE-2023 Call for paper and workshops ************************</div>
<div class="ContentPasted0">The 17th IEEE International Conference on Big Data Science and Engineering (BigDataSE-2023)</div>
<div class="ContentPasted0">https://hpcn.exeter.ac.uk/bigdatase2023/</div>
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<div class="ContentPasted0">Exeter, UK, 1-3 November 2023</div>
<div class="ContentPasted0">INTRODUCTION</div>
<div class="ContentPasted0">=============</div>
<div class="ContentPasted0">Big data is an emerging paradigm applied to datasets whose size is beyond the ability of commonly used software tools to capture, manage, and process the data within a tolerable elapsed time. The BigDataSE-2023 is going to provide
a prime international forum for researchers, industry practitioners and environment experts to exchange the latest fundamental advances in the state-of-the-art practice of Big Data and broadly related areas. The goal of this conference is to promote community-wide
discussion for identifying advanced applications, technologies and theories for big data. We seek submissions of papers that invent novel techniques, investigate new applications, introduce advanced methodologies, propose promising research directions and
discuss approaches for unsolved issues.</div>
<div class="ContentPasted0">BigDataSE-2023 will be hosted in Exeter, the capital city of Devon and provides the county with a central base for education, medicine, religion, commerce and culture. The city is also home to the magnificent Exeter Cathedral, which
dates back to Norman times. Exeter is also ideally placed to base a trip to branch out visiting places such as the famous Dartmoor National Park and the unspoilt beaches of the North and South Devon coastlines.</div>
<div class="ContentPasted0">Prospective authors are invited to submit their papers to BigDataSE-2023. All accepted papers are expected to be included in IEEE Xplore and will be indexed by Engineering Index (EI). The authors of selected best papers will be invited
post conference to extend their contributions for special issues of prestigious journals to be planned in conjunction with the conference.</div>
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<div class="ContentPasted0">SCOPE AND TOPICS</div>
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<div class="ContentPasted0">Topics of interest include, but are not limited to:</div>
<div class="ContentPasted0">• Systems, Models and Algorithms</div>
<div class="ContentPasted0">• Big Data novel theory, algorithm and applications</div>
<div class="ContentPasted0">• Big Data standards</div>
<div class="ContentPasted0">• Big Data mining and analytics</div>
<div class="ContentPasted0">• Big Data Infrastructure, MapReduce and Cloud Computing</div>
<div class="ContentPasted0">• Big Data visualization</div>
<div class="ContentPasted0">• Big Data curation and management</div>
<div class="ContentPasted0">• Big Data semantics, scientific discovery and intelligence</div>
<div class="ContentPasted0">• Big Data performance analysis and large-scale deployment</div>
<div class="ContentPasted0">• Security, privacy, trust, and legal issues to big data</div>
<div class="ContentPasted0">• Big Data vs Big Business and Big Industry</div>
<div class="ContentPasted0">• Large data stream processing on cloud</div>
<div class="ContentPasted0">• Large incremental datasets on cloud</div>
<div class="ContentPasted0">• Distributed and federated datasets</div>
<div class="ContentPasted0">• NoSQL data stores and DB scalability</div>
<div class="ContentPasted0">• Big Data placement, scheduling, and optimization</div>
<div class="ContentPasted0">• Distributed file systems for Big Data</div>
<div class="ContentPasted0">• MapReduce for Big Data processing, resource scheduling and SLA</div>
<div class="ContentPasted0">• Performance characterization, evaluation and optimization</div>
<div class="ContentPasted0">• Simulation and debugging systems and tools for MapReduce and Big Data</div>
<div class="ContentPasted0">• Volume, Velocity, Variety, Value and Veracity of Big Data</div>
<div class="ContentPasted0">• Multiple source data processing and integration with MapReduce</div>
<div class="ContentPasted0">• Storage and computation management of Big Data</div>
<div class="ContentPasted0">• Large-scale big data workflow management</div>
<div class="ContentPasted0">• Mobility and big data</div>
<div class="ContentPasted0">• Sensor network, social network and big data</div>
<div class="ContentPasted0">• Big data applications</div>
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<div class="ContentPasted0">PAPER SUBMISSION GUIDELINE</div>
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<div class="ContentPasted0">All papers need to be submitted electronically through the conference submission website (https://hpcn.exeter.ac.uk/bigdatase/) with PDF format. The materials presented in the papers should not be published or under submission elsewhere.
Each paper is limited to 8 pages (or 10 pages with over length charge) including figures and references using IEEE Computer Society Proceedings Manuscripts style (two columns, single-spaced, 10 fonts).</div>
<div class="ContentPasted0">Once accepted, the paper will be included into the IEEE conference proceedings published by IEEE Computer Society Press (indexed by EI). At least one of the authors of any accepted paper is requested to register the paper at the
conference.</div>
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<div class="ContentPasted0">CALL FOR WORKSHOP PROPOSALS</div>
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<div class="ContentPasted0">BigdataSE-2023 is inviting proposals for high-quality workshops to complement its scientific program. Workshop topics should fall within the broad area of Big Data Science and Engineering. The workshop organizers are highly encouraged
to include interactive and hands-on working sessions.</div>
<div class="ContentPasted0">The organizers of approved workshops are responsible for advertising their workshops, collecting papers, managing the review process, making accepted papers available to workshop participants (e.g., workshop website).Conference facilities
such as meeting rooms, wireless Internet and meals will be provided by the main conference local organizers.</div>
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<div class="ContentPasted0">WORKSHOP PROPOSAL SUBMISSION INSTRUCTIONS</div>
<div class="ContentPasted0">============================================</div>
<div class="ContentPasted0">Workshop proposals should be formatted as a single PDF document of 1-2 pages, describing the following:</div>
<div class="ContentPasted0">• The full name and acronym of the workshop</div>
<div class="ContentPasted0">• A description of the theme of the workshop and its key topics</div>
<div class="ContentPasted0">• A tentative list of workshop chairs</div>
<div class="ContentPasted0">• A tentative CFP</div>
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<div class="ContentPasted0">To Submit: Please email your proposal to bigadatase2023@googlegroups.com with the title “BigDataSE Workshop Proposal”.</div>
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<div class="ContentPasted0">IMPORTANT DATES</div>
<div class="ContentPasted0">=================</div>
<div class="ContentPasted0">• Workshop Proposal: 15 May 2023</div>
<div class="ContentPasted0">• Paper Submission Deadline: 1 July 2023</div>
<div class="ContentPasted0">• Authors Notification: 1 September 2023</div>
<div class="ContentPasted0">• Final Manuscript due: 1 October 2023</div>
<div class="ContentPasted0">• Registration Due: 1 October 2023</div>
<div class="ContentPasted0">• Conference Date: 1-3 November 2023</div>
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