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CONF-CDS 2021 : The 2nd International Conference on Computing and Data Science

Kennedy Commons Stanford (Online)
Event Date: Jan 28, 2021 - Jan 28, 2021
Submission Deadline: Jan 14, 2021

About

The 2nd International Conference on Computing and Data Science (CONF-CDS 2021) is an leading conference on computing technology, machine learning and data science hosted by Eliwise Academy. CONF-CDS 2021 is open to international participants. It provides an excellent opportunity for scholars interested in computing and data science to share their findings and achievements, thus promoting communication and cooperation.

The goal of this conference is to bring together researchers and practitioners from academia and industry to highlight the importance of computing technologies and data science as well as establish new collaborations in these areas. The conference looks for significant contributions to computing, data mining and data science in theoretical and practical aspects.

Call For Paper

We invite submission of papers focusing on all aspects of computing and data science ranging from theoretical foundations to novel models and algorithms. We focus on challenges and applications in the fields of computing, machine learning and data science. The topics of interest include but are not limited to:

Computing

  • Scientific Computing
  • Computer Modeling
  • Cloud Computing
  • Parallel Computing
  • Mobile Computing
  • Simulation
  • Computational Optimization
  • Distributed Computing
  • High Performance Computing
  • Soft Computing Theory and Applications

Machine Learning

  • Artificial Intelligence Tools & Applications
  • Hybrid Intelligent Systems
  • Natural Language Processing
  • Computer Vision
  • Image process
  • Heuristic and AI Planning Strategies and Tools
  • Computational Theories of Learning
  • Intelligent System Architectures
  • Neural Networks and applications
  • Pervasive Computing and Ambient Intelligence
  • Reasoning and Evolution
  • Semantic Web Techniques and Technologies
  • Web Intelligence Applications and Search

Data Science

  • Data Mining
  • Big Data
  • Databases
  • Data Management
  • Data Analytics
  • Social Network Analysis
  • Time Series Analysis
  • Forecasting
  • Data Securitya

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