Data-Centric Artificial Intelligence: New Methods for Data Processing

Dear Colleagues,

Data-centric artificial intelligence is developing rapidly thanks to advances in machine learning, natural language processing, and data visualization. These modern AI techniques enable us to better understand and process huge data sets, and provide companies and scientists with tools for extracting hidden patterns, discovering new knowledge, and automating complex analytical processes. In this Special Issue, we present application examples of these AI methods in solving real-world business and scientific problems.

We invite you to submit papers for this Special Issue dedicated to data-centric artificial intelligence, focusing on the following:

1. New methods and techniques for processing large data sets;
2. Topics related to machine learning, natural language processing, and data visualization;
3. Practical applications of these methods in various fields.

This publication will supplement the existing literature by focusing on the latest trends and solutions in this area.

Dr. Dawid Ewald
Dr. Yutaka Watanobe
Guest Editors

Manuscript Submission Information

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.