Intelligent Data Analysis

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、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)的開發(fā)及其在各個(gè)領(lǐng)域的應(yīng)用的論文。

Intelligent Data Analysis創(chuàng)刊于1997年，由IOS Press出版商出版，收稿方向涵蓋工程技術(shù) - 計(jì)算機(jī)：人工智能全領(lǐng)域，此期刊水平偏中等偏靠后，在所屬細(xì)分領(lǐng)域中專業(yè)影響力一般，過審相對(duì)較易，如果您文章質(zhì)量佳，選擇此期刊，發(fā)表機(jī)率較高。平均審稿速度 約3.0個(gè)月 ，影響因子指數(shù)0.9，該期刊近期沒有被列入國際期刊預(yù)警名單，廣大學(xué)者值得一試。