The Third Ieee International Conference On Big Data Computing Service And Applications(Ieee Bigdataservice 2017)

Apr 6-7, 2017

San Francisco Bay, California.

Call For Papers

BigData Computing and Services are receiving significant attention recently. The IEEE BigDataService 2017 conference provides a platform for researchers and practitioners to exchange innovative ideas, latest research results, as well as practical experience and lessons learnt on this topic. Its major interests include big data applications in various domains such as healthcare, business and financing, education and learning, social networks and media, smart environment, sensors and Internet of Things as well as technology aspects such as computing services and architecture, modeling, data mining and analytics, and databases.

The conference will be co-located with IEEE SOSE 2017, IEEE MobileCloud 2017, and IEEE Crowd Sourcing 2017. IEEE BigDataService 2017 will consist of main tracks and special tracks. The conference will also include the International Workshop on Intelligent Big Data Systems. The conference seeks the submission of high-quality papers limited to 10 pages (IEEE format) in length. All accepted papers will be included in the proceedings.

Topics

• Big data scalable computing models, theories, and algorithms 
• Big data service models, collection, validation,  analysis, and visualization
• Big data service frameworks, platforms, solutions and  tools
• Big data computing infrastructures, platforms, and  SaaS
• Big data computing service businesses, billing,  protocols, APIs
• Big data-as-a-service (Big DaaS) 
• Mobile big data computing and services
• Big data add-value computing services
• Modeling, Sharing Technologies and Platforms
• Innovative, concurrent, and scalable big data intelligence  analysis
• Big data knowledge extraction, discovery, analysis,  presentation, and visualization
• Big data knowledge integration, merging, migration,  and transformation
• Big data based reference, ranking, decision making,   and prediction
• Big data knowledge indexing, classification, sharing,  and assembly
• Big data knowledge-based open-source development and  technology
• Big data based knowledge system development and tools 
• Intelligence and Knowledge Engineering
• Big data modeling and banking methods in data 
• indexing, classification, integration, merging, and migration
• Big Data DB, CLOUD DB, and NOSQL DB, and Hadoop  solutions and technology
• Big Data policies, processes and standards in  collection, store, accesses, and sharing
• Big Data validation, certification, and quality  assurance
• Big Data sharing and access protocols, methods,  processes, and platforms and technologies

Important Dates

Paper submission: November 14, 2016

                       

Notification of acceptance: December 22, 2016

           

Final manuscript due: January 31, 2017

                                             

User Name : Claude
Posted 05-09-2016 on 08:42:01 AEDT

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