活动简介

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.

征稿信息

重要日期

2016-12-01
初稿截稿日期
2017-01-15
初稿录用日期
2017-01-31
终稿截稿日期

征稿范围

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

留言
验证码 看不清楚,更换一张
全部留言
重要日期
  • 04月06日

    2017

    会议日期

  • 12月01日 2016

    初稿截稿日期

  • 01月15日 2017

    初稿录用通知日期

  • 01月31日 2017

    终稿截稿日期

  • 04月06日 2017

    注册截止日期

联系方式
移动端
在手机上打开
小程序
打开微信小程序
客服
扫码或点此咨询