Topic: Techniques and Applications of Intelligent Data Mining
A Special Issue of Complex Engineering Systems
ISSN 2770-6249 (Online)
Submission deadline: 31 Aug 2024
Guest Editor(s)
Special Issue Introduction
Data mining is the analytics and knowledge discovery process of analyzing large volumes of data from various sources and transforming the data into useful information. Multiple disciplines have contributed to its development, and it is becoming increasingly important in the scientific and industrial world. Intelligent Data Mining, at the intersection of data science and artificial intelligence (AI), involves the exploration and extraction of valuable insights from vast datasets. As the demand for sophisticated data analysis techniques continues to rise, the need for intelligent approaches becomes imperative. In this context, our Special Issue seeks to provide a comprehensive platform for researchers to showcase their innovative methods and applications in Intelligent Data Mining.
In response to the growing significance of Intelligent Data Mining across varied domains, the primary objective of this Special Issue is to assemble a collection of high-quality research papers that enrich the current understanding of Intelligent Data Mining and its diverse applications. We aim to foster discussions on novel methodologies, theoretical advancements, and practical implementations, thereby pushing the boundaries of knowledge in this dynamic field.
Topics related to Intelligent Data Mining include, but are not limited to:
● Advanced Machine Learning Techniques for Data Mining;
● Deep Learning Approaches in Intelligent Data Analysis;
● Applications of Data Mining in Healthcare, Finance, and Industry;
● Explainable AI for Transparent Data Mining;
● Big Data Analytics and Intelligent Data Mining;
● Ethical Considerations in Intelligent Data Mining;
● Integration of Intelligent Data Mining with the Internet of Things (IoT);
● Intelligent Text and Image Mining;
● Real-time Data Mining and Streaming Analytics;
● Challenges and Future Directions in Intelligent Data Mining.
In response to the growing significance of Intelligent Data Mining across varied domains, the primary objective of this Special Issue is to assemble a collection of high-quality research papers that enrich the current understanding of Intelligent Data Mining and its diverse applications. We aim to foster discussions on novel methodologies, theoretical advancements, and practical implementations, thereby pushing the boundaries of knowledge in this dynamic field.
Topics related to Intelligent Data Mining include, but are not limited to:
● Advanced Machine Learning Techniques for Data Mining;
● Deep Learning Approaches in Intelligent Data Analysis;
● Applications of Data Mining in Healthcare, Finance, and Industry;
● Explainable AI for Transparent Data Mining;
● Big Data Analytics and Intelligent Data Mining;
● Ethical Considerations in Intelligent Data Mining;
● Integration of Intelligent Data Mining with the Internet of Things (IoT);
● Intelligent Text and Image Mining;
● Real-time Data Mining and Streaming Analytics;
● Challenges and Future Directions in Intelligent Data Mining.
Keywords
Data mining, big data, techniques, innovative methods and applications, explainable AI, internet of things (IoT), challenges and future
Submission Deadline
31 Aug 2024
Submission Information
For Author Instructions, please refer to https://www.oaepublish.com/comengsys/author_instructions
For Online Submission, please login at https://oaemesas.com/login?JournalId=comengsys&SpecialIssueId=ces240223
Submission Deadline: 31 Aug 2024
Contacts: Jean Shi, Assistant Editor, ces_editor@oaepublish.com
