The 3rd Workshop on Big Data Sciences (WBDS 2023)

Topics

• Big Data Management
  • Distributed, and Peer-to-peer Search
  • Algorithms and Systems for Big Data Search
  • Data Acquisition, Integration, Cleaning, and Best Practices
  • Big Data Search Architectures, Scalability and Efficiency
  • Large-scale Recommendation Systems and Social Media Systems
  • Computational Modeling and Data Integration
  • Link and Graph Mining
  • Cloud/Grid/Stream Data Mining- Big Velocity Data
  • Mobility and Big Data
  • Semantic-based Data Mining and Data Pre-processing
  • Multimedia and Multi-structured Data- Big Variety Data
• Big Data Science and Foundations
  • New Computational Models for Big Data
  • Novel Theoretical Models for Big Data
  • New Data Standards
  • Data and Information Quality for Big Data
  • High Performance/Parallel Computing Platforms for Big Data
  • Cloud/Grid/Stream Computing for Big Data
  • Software Techniques and Architectures in Cloud/Grid/Stream Computing
  • Energy-efficient Computing for Big Data
  • New Programming Models for Big Data beyond Hadoop/MapReduce, STORM
  • Big Data Open Platforms
  • Software Systems to Support Big Data Computing
• Big Data Search and Mining
  • Web Search
  • Social Web Search and Mining
  • Distributed, and Peer-to-peer Search
  • Algorithms and Systems for Big Data Search
  • Visualization Analytics for Big Data
  • Data Acquisition, Integration, Cleaning, and Best Practices
  • Large-scale Recommendation Systems and Social Media Systems
  • Computational Modeling and Data Integration
  • Link and Graph Mining
  • Cloud/Grid/StreamData Mining- Big Velocity Data
  • Mobility and Big Data
  • Semantic-based Data Mining and Data Pre-processing
  • Multimedia and Multi-structured Data-Big Variety Data