Journal Title：Intelligent Data Analysis

Intelligent Data Analysis provides a forum for the examination of issues related to the research and applications of Artificial Intelligence techniques in data analysis across a variety of disciplines. These techniques include (but are not limited to): all areas of data visualization, data pre-processing (fusion, editing, transformation, filtering, sampling), data engineering, database mining techniques, tools and applications, use of domain knowledge in data analysis, big data applications, evolutionary algorithms, machine learning, neural nets, fuzzy logic, statistical pattern recognition, knowledge filtering, and post-processing. In particular, papers are preferred that discuss development of new AI related data analysis architectures, methodologies, and techniques and their applications to various domains.

智能数据分析提供了一个论坛，用于研究与人工智能技术在跨学科数据分析中的研究和应用相关的问题。这些技术包括（但不限于）：数据可视化的所有领域、数据预处理（融合、编辑、转换、过滤、采样）、数据工程、数据库挖掘技术、工具和应用、在数据中使用领域知识分析、大数据应用、进化算法、机器学习、神经网络、模糊逻辑、统计模式识别、知识过滤和后处理。尤其是讨论新的人工智能相关数据分析架构、方法和技术的开发及其在各个领域的应用的论文是首选。