You are cordially invited to submit your original research or review papers to this Special Issue entitled “*Trends in Artificial Intelligence and Data Mining: 2021 and beyond*” in/*Applied Sciences (IF: 2.474, ISSN 2076-3417)* /.
The Special Issue aims to meet the increasing demand for scientific enquiry on Artificial Intelligence trends related to Data Mining. The amount of data available every day is enormous and increasing at an exponential rate. Recently, there has been a growing interest in using complex methods to analyze and visualize massive data generated from very different knowledge domains: social networks, smart cities, security, health sciences, medical, business, education, or multimedia entertainment. This Special Issue is aimed at encouraging researchers and developers to publish original, innovative, and state-of-the-art machine complex methods algorithms, resources and architectures that analyze and visualize large amounts of data and solve a range of problems.
We are particularly interested in candidates who have conducted research on the theoretical or practical aspects of data mining/―/in particular, text mining and knowledge discovery—which may be complemented by data that are heterogeneous―geolocation, categories, metadata, etc.― and multimodal ―sound, image, video, etc. These aspects can range from resources for improving or training machine learning algorithms, to algorithms that use complex methods―i.e. deep learning, chaos algorithms, genetic algorithms, cellular automata, etc.―and statistical learning methods, applied to one or more domains, such as digital media data; bioinformatics; health care; multimedia entertainment; social networks; natural language processing; and educational.
Potential topics include but are not limited to the following:
* Soft Computing for multimedia and heterogeneous data analysis (text
data processing required);
* Deep learning (DL) in data mining (DM) and knowledge discovery
(transfer learning is highly recommended);
* Auto machine learning algorithms (AutoML) for DM;
* Bias in machine learning (ML) and resources;
* Adversarial challenges of ML for DM;
* Democratization of resources and tool development for DM;
* Explainable text mining models and semantics into ML;
* Language generation from DM;
* Corpora for ML;
* Multimodal sentiment analysis and opinion mining using DL;
* DL for education data learning (text data processing required).
The Special Issue (https://www.mdpi.com/journal/applsci/special_issues/Artificial_Intelligence_Data_Mining <https://www.mdpi.com/journal/applsci/special_issues/Artificial_Intelligence_Data_Mining>) is an opportunity to disseminate the scientific and technological development related to intelligent management of big data. Research accompanied by standardized resources and source codes will be positively received.
Deadline for manuscript submissions:*28 February 2021*.
Dr. José Ignacio Abreu Salas Dr. Yoan Gutiérrez Vázquez /Guest Editors/
-- ................ PhD. Yoan Gutiérrez Vázquez Department of Software and Computing systems, University of Alicante Guest Editor of Applied Sciences Special Issue "Trends in Artificial Intelligence and Data Mining: 2021 and Beyond" in [Applied Sciences] (IF=2.474; CiteScore=2.4) is open for submission. If the issue publishes 5+ papers, we will consider to print it into a E-book and real book (with ISBN number).
-------------- next part -------------- A non-text attachment was scrubbed... Name: not available Type: text/html Size: 17251 bytes Desc: not available URL: <https://mailman.uib.no/public/corpora/attachments/20201223/9060b429/attachment.txt>