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Call for Papers | 会议主题

Call for Papers | 会议主题

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The BDIT 2021 is the premier interdisciplinary platform for the presentation of new advances and research results in the fields of Big Data and Information Technology. The conference will bring together leading academic scientists, researchers and scholars in the domain of interest from around the world. Topics of interest for submission include, but are not limited to:

Big Data Science and Foundations

  • Novel Theoretical Models for Big Data
  • New Computational Models for Big Data
  • Data and Information Quality for Big Data
  • New Data Standards
  • Cloud/Grid/Stream Computing for Big Data
  • High Performance/Parallel Computing Platforms for Big Data
  • Energy-efficient Computing for Big Data
  • Software Techniques and Architectures in Cloud/Grid/Stream Computing
  • Big Data Open Platforms
  • New Programming Models for Big Data beyond Hadoop/MapReduce, STORM
  • Software Systems to Support Big Data Computing

Big Data Management

  • Algorithms and Systems for Big Data Search
  • Distributed, and Peer-to-peer Search
  • Big Data Search Architectures, Scalability and Efficiency
  • Data Acquisition, Integration, Cleaning, and Best Practices
  • Visualization Analytics for Big Data
  • Computational Modeling and Data Integration
  • Large-scale Recommendation Systems and Social Media Systems
  • Cloud/Grid/Stream Data Mining- Big Velocity Data
  • Link and Graph Mining
  • Semantic-based Data Mining and Data Pre-processing
  • Mobility and Big Data
  • Multimedia and Multi-structured Data- Big Variety Data

Big Data Search and Mining

  • Social Web Search and Mining
  • Web Search
  • Algorithms and Systems for Big Data Search
  • Distributed, and Peer-to-peer Search
  • Big Data Search Architectures, Scalability and Efficiency
  • Data Acquisition, Integration, Cleaning, and Best Practices
  • Visualization Analytics for Big Data
  • Computational Modeling and Data Integration
  • Large-scale Recommendation Systems and Social Media Systems
  • Cloud/Grid/StreamData Mining- Big Velocity Data
  • Link and Graph Mining
  • Semantic-based Data Mining and Data Pre-processing
  • Mobility and Big Data
  • Multimedia and Multi-structured Data-Big Variety Data

Information Technology

  • Artificial Intelligence
  • Business Intelligence and Applications
  • Cloud Computing in E-Commerce Scenarios
  • Computer Network
  • Data Analytics and Big Data
  • Distributed Systems
  • E-Business Systems Integration and Standardization, E-government
  • E-Commerce Risk Management
  • Electronic Business Model and Method
  • Evolutionary Computation and Algorithms
  • Image Processing and Multimedia Technology
  • Information System Integration and Decision Support
  • Intelligent Information Processing
  • Internet of Things, Data Mining
  • Machine Learning
  • Mobile Computing
  • Natural Language Processing
  • Recommender system
  • Semantic Web Service Architecture for E-Commerce
  • Service Oriented E-Commerce and Business Processes
  • Signal Detection and Processing
  • Software Engineering
  • Technique and Application of Database
  • Visualization and Computer Graphic