NOTICE 2-2019
Call for paper: Special Issues “Data mining in Earth Sciences”
Data mining has been widely used to solve a lot of problems in Earth Sciences such as geo-hazards assessment and prediction, groundwater quality and potential prediction, land use-land cover detection, etc. Nowadays, with the emergence of new technologies such as GIS, remote sensing, automation, smart equipment like mobile phone, a huge amount of data is being generated in Earth Sciences, which creates challenges on how to analyze this data to discover the useful knowledge for solving real-world problems.
In recent years, new advanced techniques like Artificial Intelligence - AI (Machine learning and deep learning) have been developed and applied effectively in data mining of many earth sciences problems such as geo-environmental and geotechnical problems. Many new hybrid and advanced AI techniques are being proposed. Development and application of these techniques in data mining of Earth Sciences are required with new case studies.
The main objective of the special issue is to collect state-of-the-art research findings on the latest developments and challenges in the field of data mining for earth sciences. High-quality original research papers that present theoretical frameworks, methodologies, and application o case studies from a single- or cross-country perspective are welcome, as well as review articles.
Potential topics of interest include but are not limited to the following:
● Data mining techniques, including classification, association, outlier detection, clustering, regression, and prediction, for decision-making, used in Earth Sciences
● Cutting-edge data mining methods, such as machine learning and deep learning for data mining in Earth Sciences
● Real-world problems in Earth Sciences such as geohazards (landslides, floods, and earthquakes), forest fire, groundwater quality and potential assessment, geo-environmental and geotechnical problems, land use/land cover detection, and any Earth Sciences related problems.
Guest Editors
Lead Guest Editor: Binh Thai Pham, University of Transport Technology, email: binhpt@utt.edu.vn
Guest EditorsSubmitted deadline: 30 April 2020.
