Intelligent Data Analysis

智能数据分析为研究人工智能技术在不同学科的数据分析中的研究和应用提供了一个论坛。这些技术包括(但不限于)：所有领域的数据可视化、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，工具和应用程序，使用数据分析领域知识的大数据应用，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。特别推荐讨论与人工智能相关的新数据分析体系结构、方法和技术的开发及其在各个领域的应用。本期刊发表的论文主要面向应用，预计70%的论文将以应用为导向，其余30%将包含更多的理论研究。稿件必须以*.pdf格式提交。请在单独的空格内准备好你的手稿，并在正文中包括相关的数字和表格。如果您对投稿有任何疑问，请联系IDA杂志编辑：editor@ida-ij.com在这里下载期刊的宣传单。

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.Papers published in this journal are geared heavily towards applications, with an anticipated split of 70% of the papers published being applications-oriented, research and the remaining 30% containing more theoretical research. Manuscripts should be submitted in *.pdf format only. Please prepare your manuscripts in single space, and include figures and tables in the body of the text where they are referred to. For all enquiries regarding the submission of your manuscript please contact the IDA journal editor: editor@ida-ij.comDownload the journal's flyer here.