智能數據分析為研究人工智能技術在不同學科的數據分析中的研究和應用提供了一個論壇。這些技術包括(但不限于)：所有領域的數據可視化、數據預處理(融合、編輯、轉換、過濾采樣)，數據工程,數據庫挖掘技術，工具和應用程序，使用數據分析領域知識的大數據應用，進化算法、機器學習、神經網絡、模糊邏輯、統計模式識別、知識過濾和后處理。特別推薦討論與人工智能相關的新數據分析體系結構、方法和技術的開發及其在各個領域的應用。本期刊發表的論文主要面向應用，預計70%的論文將以應用為導向，其余30%將包含更多的理論研究。稿件必須以*.pdf格式提交。請在單獨的空格內準備好你的手稿，并在正文中包括相關的數字和表格。如果您對投稿有任何疑問，請聯系IDA雜志編輯：[email protected]在這里下載期刊的宣傳單。

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: [email protected] the journal's flyer here.