Conference Information
BigDataService 2017 : International Conference on Big Data Computing Service and Applications
Submission Date:
2016-12-01 Extended
Notification Date:
Conference Date:
San Francisco Bay, California, USA
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Conference Location
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 of Interest

The conference invites papers addressing original research on big data service and their applications. Topics of interest include (but are not limited to) the following:

    Computing and Service
    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

    Big data research application and service systems in multi-media and social networking
    Big data based energy and environment control, evaluation and management
    Big data research applications and service systems in hospitality, tourism, transportation and urban planning
    Enterprise, industry and business
    Bio-Medical and healthcare services
    Process and bioprocess applications
    Innovative Applications

Emerging Tracks:

    Big Data Sensing and Internet of Things Services
    Big Data Networking
    Big Data Security
    Smart City Big Data

Special Tracks
As mentioned above, IEEE BigDataService 2017 will feature the following special tracks.

    Industry Track

Emerging big data platforms for enterprises
Industrial solutions for big data applications
Challenges in adoption of big data technologies

    Visionary Track

Creative big data service models and applications
Visionary ideas, long-term challenges, and new research opportunities

    International Workshop on Intelligent Big Data Systems (IBDS 2016)
Last updated by Dou Sun in 2016-11-20
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