As cloud computing turning computing and software into commodity services, everything as a service in other words, it leads to not only a technology revolution but also a business revolution. Insights and impacts of various types of services (infrastructure as a service, platform as a service, software as a service, business process as a service) have to be re-examined.
2016 International Congress on Big Data (BigData Congress 2016) aims to provide an international forum that formally explores various business insights of all kinds of value-added "services." Big Data is a key enabler of exploring business insights and economics of services.
BigData Congress 2016's major topics include but not limited to: Big Data Architecture, Big Data Modeling, Big Data As A Service, Big Data for Vertical Industries (Government, Healthcare, etc.), Big Data Analytics, Big Data Toolkits, Big Data Open Platforms, Economic Analysis, Big Data for Enterprise Transformation, Big Data in Business Performance Management, Big Data for Business Model Innovations and Analytics, Big Data in Enterprise Management Models and Practices, Big Data in Government Management Models and Practices, and Big Data in Smart Planet Solutions.
The 6 co-located conferences are sponsored by IEEE Computer Society's Technical Committee on Services Computing (TC-SVC) and Services Society.
Technical topics of interest include but are not limited to the following:
Big Data Models and Algorithms
Foundational Models for Big Data
Algorithms and Programming Techniques for Big Data Processing
Big Data Analytics and Metrics
Big Data Architectures
Cloud Computing Techniques for Big Data
Big Data as a Service
Big Data Open Platforms
Big Data Management
Big Data Persistence and Preservation
Big Data Quality and Provenance Control
Big Data Storage and Retrieval
Big Data Security and Privacy
Big Data System Security and Integrity
Big Data Information Security
Privacy Preserving Big Data Analytics
Usable Security and Privacy for Big Data
Quality of Big Data Services
Big Data Service Performance Evaluation
Big Data Service Reliability and Availability
Real-Time Big Data Services
Big Data Search, Mining, and Visualization
Algorithms and Systems for Big Data Search
Distributed, and Peer-to-peer Search
Machine learning based on Big Data
Visualization Analytics for Big Data
Big Data Applications
Big Data for Enterprise, Government, and Society
Case Studies of Big Data Value Creation
Big Data for Science and Engineering Research
Enabling Resources for Big Data Research
Big Data Sets
Big Data Application Benchmarks
Survey of big data research papers and/or big data sets
Special Track on Real-Time Big Data Analytics
Techniques and Algorithms for Real-Time Big Data Analytics
Applications and Evaluation of Real-Time Big Data Systems
Special Track on Big Data/Smart Cities
Big Data for Improving Resilient Infrastructures
Big Data Applications such as Healthcare and Transportation
06月27日
2016
07月02日
2016
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