Abstract
Advances in Text and Data Mining of Biological Data: Models, Methods and Applications
Highlights
The development of biological systems over billions of years has made them very difficult to understand
Such processing should include models, methods, and tools for efficient storage and retrieval of various types of data; an effective conversion and consolidation of the data of multiple formats; fast optimization and transfer; reliable intellectual analysis to obtain valuable information; as well as informative data visualizations for future visual analysis or better human perception. All this necessitates combining existing and developing new, faster, and precision Artificial Intelligence (AI) technics for future information discovery and knowledge engineering from such data. This special issue is dedicated to covering up-to-date textand data mining models, methods, and application of biological data processing and analysis to transform such data into useful information and knowledge
The IDDM 2020 Program Committee recommended it based on the scientific novelty, reasonable value, and prospects for further research
Summary
The development of biological systems over billions of years has made them very difficult to understand. Advances in Text and Data Mining of Biological Data: Models, Methods and Applications The latest advances in Artificial Intelligence (AI), mainly text mining, data mining, artificial neural networks, fuzzy logic, machine learning, and others, can significantly improve the processing of such data. The peculiarities of biological data are that it has different types, formats, structures, and huge volumes, which significantly complicates its processing and analysis.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
