活动简介

Big‐Data computing and Services are receiving significant attention recently. The IEEE BigDataService 2016 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 program will consist of research tracks, application tracks, and a special industry track. The conference will also include the International Workshop on Intelligent Big Data Systems. The conference will be co-located with IEEE SOSE 2016, IEEE MobileCloud 2016, and IEEE Crowd Sourcing 2016.

征稿信息

征稿范围

Research Tracks on Innovation:

Big Data Research Tracks

(a) 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
(b) Security

Big data security, privacy, and services
(c) Intelligence and Knowledge Engineering

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
(d) Sensing and Internet of Things Services

Big data collection sensors, networks, devices, and solutions
(e) Modeling, Sharing Technologies and Platforms

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
(f) Networking

New big networking infrastructure, systems, and protocols
Big Data Application Tracks

(g) Energy and Environment

Energy and environment big data modeling applications
Big data based energy and environment control, evaluation and management
Big data based monitoring & altering, protection & prediction.
(h) Bio-Medical and Healthcare Services

Bio-medical and healthcare services and applications based on big data.
Big data research and project experience in bio-medical and health care application services.
(i) Transportation, Tourism and Smart Cities

Big data research applications and service systems in hospitality, tourism, transportation and urban planning.
(j) Enterprise, Industry and Business

Big Data Technologies for Business Applications in vertical markets - like Telecom, Health Care, Mobile Computing, Sensor Networks, Social Networking, Smart Cities, etc.
Emerging Big Data Platform for Enterprise Applications
Various Use Cases for Business Applications
Big Data Tools for Business Intelligence
Challenges in Enterprise Adoption of Big Data Technologies
Integration of Various Big Data Technologies in the Enterprise
Data Mining Applications of Big Data for Business Intelligence and Decision Making
(k) Information Banking

Big data information banking projects
policies and standards
business services and cost models
data sharing and exchange protocols
data classification, indexing and search solutions
supporting infrastructures.
(l) Process and Bioprocess Applications

(m) Social Networks

Big data research application and service systems in multi-media and social networking.
Special Tracks

(n) Industry Track

Emerging Big Data Platforms for Enterprises
Industrial Solutions for Big Data Applications
Challenges in Adoption of Big Data Technologies

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重要日期
  • 会议日期

    03月29日

    2016

    04月01日

    2016

  • 04月01日 2016

    注册截止日期

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