About Big Data and Cognitive Computing


Big Data and Cognitive Computing (ISSN 2504-2289) is an international, interdisciplinary scholarly scientific, and open access journal on big data and cognitive computing for computer science.

In the past decade, the computer and information industry has experienced rapid changes in both platform scale and scope of applications. Computers, smart phones, clouds, social networks, and supercomputers demand not only high performance but also a high degree of machine intelligence.

As a matter of fact, we are entering an era of big data and cognitive computing. In the big data era, successful cloud systems, web services and supercomputer centers must be designed to discover, store, process, learn, analyze, and predict from a massive amount of data.

To face these new computing and communication changes, we must upgrade the clouds and the computing ecosystem with new capabilities, such as machine learning, IoT sensing, data analytics, and cognitive machines mimicking human intelligence.

This journal blends together big-data theories with emerging technologies on smart clouds and exploring supercomputers with new applications.


Big Data, Clouds, and Internet of Things (IoT)

  • Big Data Processing and Analytics
  • Big Data Integrity and Privacy
  • Big Data Models, Algorithms, and Architectures
  • Big Data Infrastructure and Systems
  • Big Data Applications in Science, Internet, Finance, Telecommunications, Business, Medicine, Healthcare, Government, Transportation, Industry, Manufacturing, etc.
  • Cloud Computing Techniques
  • Cloud Services and Applications
  • Data Storage and Management
  • Data Search and Mining
  • IoT Technologies and IoT Architecture
  • IoT Sensing and Mobile Systems
  • IoT Applications

 Cognitive Computing

  • Artificial Intelligence Algorithm and Cognitive Theory
  • Affect/Emotion/Personality/Mind Computing
  • 6G Semantic Communication
  • Emotion Cognition
  • Cognitive Modeling
  • Cognitive Informatics
  • Cognitive Sensor Networks
  • Cognitive Robots
  • Cross-Media Analysis and Reasoning
  • Neuromorphic Computing and Cognitive Algorithm
  • Deep Learning
  • Digital Twin Technologies
  • Cognitive Brain Health
  • Human–Machine/Robot Interaction
  • Machine Learning and its Applications in Medicine, Biology, Industry, Manufacturing, Security, Education, etc.
  • Application of Cognitive Computing in Health Monitoring, Intelligent Control Systems, Bioinformatics, Smart Manufacturing, Smart Grids, Image/Video and Signal Processing, etc.
  • Natural Language Processing and Semantic Cognition
  • Robots and Control Systems

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MDPI is a member of the Committee on Publication Ethics (COPE). MDPI takes the responsibility to enforce a rigorous peer-review together with strict ethical policies and standards to ensure to add high quality scientific works to the field of scholarly publication. Unfortunately, cases of plagiarism, data falsification, inappropriate authorship credit, and the like, do arise. MDPI takes such publishing ethics issues very seriously and our editors are trained to proceed in such cases with a zero tolerance policy. To verify the originality of content submitted to our journals, we use iThenticate to check submissions against previous publications.

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Copyright / Open Access

Articles published in BDCC will be Open-Access articles distributed under the terms and conditions of the Creative Commons Attribution License (CC BY). The copyright is retained by the author(s). MDPI will insert the following note at the end of the published text:

© 2024 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/).


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