The objective of the Industry Track program is to establish an efficient dialogue between big data practitioners and researchers concerning the challenges, solutions, lessons learned on implementing big data solutions. Of particular interest is information on applying big data analysis, infrastructure, development, deployment, security, verification and validation in diverse industry sectors, and diverse application areas. The Industry Track papers and presentations will address the application of big data practices (which may include work on principles, techniques, tools, methods, processes) to a specific domain or to the development of a substantial big data system. In particular, we are interested in techniques that data analysis, management, infrastructure, and application. We expect Industry papers and presentations to be of interest to big data professionals with concrete relation to industrial application.
omputing 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
Applications
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
04月06日
2017
会议日期
初稿截稿日期
初稿录用通知日期
终稿截稿日期
注册截止日期
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