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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.

智能數(shù)據(jù)分析?為研究和應(yīng)用人工智能技術(shù)在各個(gè)學(xué)科數(shù)據(jù)分析中的相關(guān)問(wèn)題提供了一個(gè)論壇。這些技術(shù)包括（但不限于）：數(shù)據(jù)可視化的所有領(lǐng)域、數(shù)據(jù)預(yù)處理（融合、編輯、轉(zhuǎn)換、過(guò)濾、采樣）、數(shù)據(jù)工程、數(shù)據(jù)庫(kù)挖掘技術(shù)、工具和應(yīng)用程序、領(lǐng)域知識(shí)在數(shù)據(jù)分析中的使用、大數(shù)據(jù)應(yīng)用程序、進(jìn)化算法、機(jī)器學(xué)習(xí)、神經(jīng)網(wǎng)絡(luò)、模糊邏輯、統(tǒng)計(jì)模式識(shí)別、知識(shí)過(guò)濾和后處理。特別是，我們更傾向于討論新的人工智能相關(guān)數(shù)據(jù)分析架構(gòu)、方法和技術(shù)的開(kāi)發(fā)及其在各個(gè)領(lǐng)域的應(yīng)用的論文。

《Intelligent Data Analysis》(智能數(shù)據(jù)分析)編輯部通訊方式為IOS PRESS, NIEUWE HEMWEG 6B, AMSTERDAM, NETHERLANDS, 1013 BG。如果您需要協(xié)助投稿或潤(rùn)稿服務(wù)，您可以咨詢(xún)我們的客服老師。我們專(zhuān)注于期刊咨詢(xún)服務(wù)十年，熟悉發(fā)表政策，可為您提供一對(duì)一投稿指導(dǎo)，避免您在投稿時(shí)頻繁碰壁，節(jié)省您的寶貴時(shí)間，有效提升發(fā)表機(jī)率，確保SCI檢索（檢索不了全額退款）。我們視信譽(yù)為生命，多方面確保文章安全保密，在任何情況下都不會(huì)泄露您的個(gè)人信息或稿件內(nèi)容。