Aims and Scope
In this era of information explosion, data are commonly incomplete in many big-data-related applications such as e-commerce systems, environmental monitoring systems, wireless sensor networks, and social networks, as the related information or relationships are unlikely to be fully observed or collected in practice. Although some information is missing from incomplete data, they still contain rich latent knowledge and patterns, e.g., users’ potential preferences on items in e-commerce systems. Hence, how to efficiently and effectively filter valuable knowledge and patterns out of incomplete big data (IBD) has become a significant challenge.
The human brain is the most intelligent biological computing ‘machine’ at a fundamental level. Against this backdrop, neuroscience-inspired intelligent computing, like artificial neural network (ANN) has made dramatic advances in the last decades. It has been increasingly applied to a range of practical problems, such as natural language processing, visual analysis, speech recognition, robot control, language translation, etc. It plays a crucial role in promoting the rapid development of science and technology.
Recently, neuroscience-inspired intelligent computing has been adopted to analyze IBD. This Special Issue aims at exploring the latest up-to-date theory, methods, and applications regarding IBD analysis based on neuroscience-inspired intelligent computing.
Lead Guest Editor
Prof. Di Wu
Southwest University, China
Research Interests: Big Data, Data Mining, Recommender Systems, Environmental Protection
Guest Editors
Dr. Zhong Chen
Xavier University of Louisiana, United States
Research Interests: Big Data Mining, Machine Learning, Bioinformatics
Dr. Muhammad Aslam
University of West of Scotland, United Kingdom
Research Interests: Network Security, Machine Learning, Computer Networks, Wireless Sensor Networks, Mobile Communications
Dr. Dianlong You
Yanshan University, China
Research Interests: Machine Learning, Streaming Feature Selection, Service Computing
Special Issue Information
We encourage researchers and experts worldwide to contribute by submitting high-quality original research papers and review papers. In particular, new interdisciplinary approaches, open-source tools, and open-source datasets are especially welcome.
The topics of interest include, but are not limited to, the following:
· Brain-like computing based IBD analysis
· Cognitive computing based IBD analysis
· IBD Representation learning with neuroscience
· Intelligent robots and systems for IBD analysis
· Human-Machine systems for IBD analysis
· Information security with neuroscience for IBD analysis
· Human-Centric Computing for IBD analysis
Manuscript Submission Information
Submission deadline: 30 June 2023
Submissions that pass pre-check will be reviewed by at least two reviewers of the specific field. Accepted papers will be published on early access first and sent for copy editing and typesetting. Then all papers will be included in the special issue when it is published.
If you have any queries regarding the special issue or other matters, please feel free to contact the editorial office: caspercheng@bonviewpress.org / caspercheng@bonviewpress.com
All site content, except where otherwise noted, is licensed under a Creative Commons Attribution 4.0 International License.
ISSN 2810-9570 (Print) 2810-9503 (Online) | Published by Bon View Publishing Pte Ltd.
Member of
