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EAIADS 2020 : Empowering Artificial Intelligence in Data Science

Abstract Submission Deadline: Oct 01, 2020
Submission Deadline: Nov 01, 2020
Notification of Acceptance: Apr 30, 2021
Camera Ready Version Due : Jun 30, 2021


This book provides valuable information on effective, cutting-edge techniques, and approaches for governments, students, researchers, practitioners, entrepreneurs and teachers in the field of Artificial Intelligence. The book will explain the data and AI, types and properties of data, the relation between A.I. algorithms and data, what makes data A.I. ready, steps of data pre-processing, data quality, data storage and data platforms.

Therefore, this book will be interested by AI practitioners, academics, researchers, and lecturers in computer science, artificial intelligence, machine learning and data sciences. 

Call For Paper

A partial list of relevant topics is as follows:

  • Information Retrieval
  • AI Algorithms
  • Intelligent System Architectures
  • Multimedia & Cognitive Informatics
  • Machine learning and Neural Networks
  • Pattern Recognition and Text Recognition
  • Pervasive Computing and Ambient Intelligence
  • Programming Languages Artificial Intelligence
  • Soft Computing and Applications
  • Artificial Intelligence Tools & Applications
  • AI in Data informatics.
  • Data Science for Industry 4.0
  • AI for Business data analytics.
  • AI for Big Social Data Analysis.
  • AI applications and Innovations.
  • Deep Learning for Data Intelligence.
  • IoT sensor Data Analysis and Fusion.
  • Data Science Visualization using AI.
  • Data Science and AI in e-Government and Society.
  • Performance Tuning and optimization for Big Data Using AI.
  • Optimization for machine Learning and Data mining in Big Data.
  • Case studies of use of data science and AI applications in healthcare, education, tourism, logistics, cybersecurity and business.

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