Recent Advances in Intelligent Data Analysis and Its Applications.

This article provides an overview of recent advancements in intelligent data analysis and its applications in various fields. It emphasizes the need for intelligent models and methods to effectively manage and process large datasets, ensuring accurate analyses and timely extraction of insights. The article explores different approaches within intelligent data analysis, such as data mining, machine learning, natural language processing, social network analysis, machine vision, and cognitive computing. It also highlights the importance of staying up-to-date with data analysis methodologies to address current and future challenges. The article concludes by summarizing the contributions of twenty-eight papers published in a special issue of the journal Electronics, covering topics such as decision making, recommendation systems, intrusion detection, question answering, and machine learning. [Extracted from the article]