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ICBDSC 2021 : 4th International Conference on Big Data and Smart Computing

Yokohama, Japan
Event Date: Jan 16, 2021 - Jan 18, 2021
Submission Deadline: Aug 25, 2020
Notification of Acceptance: Sep 15, 2020
Camera Ready Version Due : Dec 25, 2020

About

The conference is addressed to academics, researchers and professionals with a particular interest related to the conference topic. It brings together academics, researchers and professionals in the field of Big Data and Smart Computing making the conference a perfect platform to share experience, foster collaborations across industry and academia, and evaluate emerging technologies across the globe.

Call For Paper

Submissions may be targeted within, but not limited to, the following major topics and sub-topics:

Big Data Infrastructure

  • Cloud/Grid/Stream Computing for Big Data
  • High Performance/Parallel Computing Platforms for Big Data
  • Autonomic Computing and Cyber-infrastructure, System Architectures, Design and Deployment
  • Energy-efficient Computing for Big Data
  • Programming Models and Environments for Cluster, Cloud, and Grid Computing to Support 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

  • Advanced database and Web Applications
  • Novel Data Model and Databases for Emerging Hardware
  • Data Preservation
  • Data Provenance
  • Interfaces to Database Systems and Analytics Software Systems
  • Data Protection, Integrity and Privacy Standards and Policies
  • Information Integration and Heterogeneous and Multi-structured Data Integration
  • Data management for Mobile and Pervasive Computing
  • Data Management in the Social Web
  • Crowdsourcing
  • Spatiotemporal and Stream Data Management
  • Scientific Data Management
  • Workflow Optimization
  • Database Management Challenges: Architecture, Storage, User Interfaces

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/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 Security & Privacy

  • Intrusion Detection for Gigabit Networks
  • Anomaly and APT Detection in Very Large Scale Systems
  • High Performance Cryptography
  • Visualizing Large Scale Security Data
  • Threat Detection using Big Data Analytics
  • Privacy Threats of Big Data
  • Privacy Preserving Big Data Collection/Analytics
  • HCI Challenges for Big Data Security & Privacy
  • User Studies for any of the above
  • Sociological Aspects of Big Data Privacy

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