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BDSEA 2016: IEEE/ACM International Conference on Big Data Science, Engineering, and Applications

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투고 마감일:
2016-08-31 Extended
통보일:
2016-09-25
개최일:
2016-12-06
개최지:
Shanghai, China
개최 횟수:
3
조회: 14918   팔로우: 7   참가: 2

논문 모집

BDSEA 2016 (IEEE/ACM International Conference on Big Data Science, Engineering, and Applications) is an academic conference held in Shanghai, China on 2016-12-06. The paper submission deadline is 2016-08-31 (extended). Acceptance notifications are sent on 2016-09-25.

The IEEE/ACM International Conference on Big Data Science, Engineering, and Applications (BDSEA) is an annual international conference series. The first two events were held in London (BDC 2014) and Cyprus (BDC 2015) respectively. In 2016, the conference has been expanded to explicitly include application and renamed as BDSEA 2016. The conference series aims to provide a platform for researchers to present their new discoveries, developments, results, as well as the latest trends in big data computing and applications. BDSEA 2016 will be held in conjunction with the 9th IEEE/ACM International Conference on Utility and Cloud Computing (UCC 2016) at Tongji University, Shanghai, China. Authors are invited to submit original unpublished manuscripts on a broad range of topics related to big data science, computing paradigms, platforms and applications. Topics Topics of interest include, but are not limited to: I. Big Data Science Big Data Analytics Innovative Data Science Models and Approaches Data Science Practice and Experience Algorithms for Big Data Novel Big Data Search Techniques Innovative data and Knowledge Engineering approaches Data Mining and Knowledge Discovery Approaches for Big Data Big Data Acquisition, Integration, Cleaning, and Best Practices Experience reports in Solving Large Scale Data Science Problems II. Big Data Infrastructures and Platforms Scalable computing models, theories, and algorithms In-Memory Systems and platforms for Big Data Analytics Programming Systems for Big Data Cyber-Infrastructures for Big Data Performance evaluation reports for Big Data Systems Fault tolerance and reliability of Big Data Systems I/O and Data management Approaches for Big Data Energy-efficient Algorithms Storage Systems (including file systems, NoSQL, and RDBMS) Resource management Approaches for Big Data Systems Many-Task Computing Many-core computing and accelerators III. Big Data Security and Policy Big Data Archival and Preservation Big Data Management Policies Data Privacy Data Security Big Data Provenance Ethical and Anonymization Issues for Big Data Big Data Compliance and Governance Models IV. Big Data Applications Experience Papers with Big Data Application Deployments Big Data Applications for Internet of things Scientific application cases studies on Cloud infrastructure Big Data Applications at Scale Data streaming applications Mobile Applications of Big Data Big Data in Social Networks Healthcare Applications such as Genome processing and analytics Enterprise Applications V. Visualization of Big Data Visual Analytics Algorithms and Foundations Graph and Context Models for Visualization Analytical Reasoning and Sense-making on Big Data Visual Representation and Interaction Big Data Transformation, and Presentation
최종 수정: Dou Sun ()

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관련 저널

CCF정식 명칭영향력 지수출판사ISSN
Journal of Big Data6.4Springer2196-1115
Big Data Research4.2Elsevier2214-5796
Computing in Science & Engineering1.9IEEE1521-9615
AIEEE Transactions on Multimedia9.7IEEE1520-9210
CKnowledge-Based Systems7.2Elsevier0950-7051
BSoftware & Systems Modeling3.2Springer1619-1366
AIEEE Transactions on Computers3.8IEEE0018-9340
CFuture Generation Computer Systems6.1Elsevier0167-739X
CNeurocomputing6.5Elsevier0925-2312
CPattern Recognition Letters3.9Elsevier0167-8655

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