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.

智能數(shù)據(jù)分析為研究人工智能技術(shù)在不同學(xué)科的數(shù)據(jù)分析中的研究和應(yīng)用提供了一個論壇。這些技術(shù)包括(但不限于)：所有領(lǐng)域的數(shù)據(jù)可視化、數(shù)據(jù)預(yù)處理(融合、編輯、轉(zhuǎn)換、過濾采樣)，數(shù)據(jù)工程,數(shù)據(jù)庫挖掘技術(shù)，工具和應(yīng)用程序，使用數(shù)據(jù)分析領(lǐng)域知識的大數(shù)據(jù)應(yīng)用，進化算法、機器學(xué)習(xí)、神經(jīng)網(wǎng)絡(luò)、模糊邏輯、統(tǒng)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(guān)的新數(shù)據(jù)分析體系結(jié)構(gòu)、方法和技術(shù)的開發(fā)及其在各個領(lǐng)域的應(yīng)用。本期刊發(fā)表的論文主要面向應(yīng)用，預(yù)計70%的論文將以應(yīng)用為導(dǎo)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(nèi)準備好你的手稿，并在正文中包括相關(guān)的數(shù)字和表格。如果您對投稿有任何疑問，請聯(lián)系IDA雜志編輯：editor@ida-ij.com在這里下載期刊的宣傳單。