MoBiD 2017
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The sixth International Workshop on Modeling and Management of Big Data (MoBiD)
Nov. 6th-9th, 2017, Valencia Spain

In conjunction with the 36th International Conference on Conceptual Modelling (ER2017)


The scope of the workshop includes several aspects of conceptual modeling in data-driven paradigm, but is not limited to:
  • Agile modeling for big data
  • Advanced applications with Hadoop or Spark frameworks
  • Application design and architecture of big data environment
  • Big Data Analytics
  • Data Stream Mining
  • Business Process and Dependency Modeling
  • Business Intelligence applications and modeling
  • Conceptual modeling approaches for Big Data
  • Conceptualization for data-drive paradigm
  • Data-driven businesses
  • Using data science approaches for novel analysis and applications
  • Enterprise modeling and architectures for big data projects
  • Architectures and Methodologies for Big Data Applications
  • (Omni-Channel) CRM Platforms
  • Data Integration in Big Data environments
  • Data Integration and management for Hadoop ecosystems
  • Data virtualization, ELT, or ETL for data integration
  • Information packaging
  • Knowledge management for big data
  • Metamodeling
  • Modeling and management for social network data
  • Novel applications in Big Data
  • Interface design and visualization for big data
  • Model-driven development methodologies and approaches
  • Differences to Traditional Conceptual Modeling (e.g., in a Data Warehouse context)
  • Provenance modeling
  • Requirements modeling for Web-based applications
  • Security, resiliency and privacy in social networks and other big data environments
  • Software as a Service (SaaS) modeling solutions
  • Analytics for complex data
  • Cloud-based analytics
  • Social Media Analytics
  • Sensor Analysis
  • Stream and In-memory Processing
  • Data mining and warehousing over the cloud
  • ETL over the cloud
  • Hybrid cloud
  • Modeling and management in IOT domains
  • Smart Cities
  • Smart health
  • Education for big data and data science

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