國際期刊《數(shù)據(jù)分析與分類進(jìn)展》(ADAC)被設(shè)計(jì)成一個論壇，為有關(guān)從許多類型的數(shù)據(jù)中提取可知方面的研究和應(yīng)用的高標(biāo)準(zhǔn)出版物提供了一個論壇。它出版關(guān)于諸如分析數(shù)據(jù)的結(jié)構(gòu)、數(shù)量或統(tǒng)計(jì)方法等主題的文章;分類、聚類和模式識別方法的研究進(jìn)展復(fù)雜數(shù)據(jù)建模和大數(shù)據(jù)集挖掘策略從數(shù)據(jù)中提取知識的方法，以及高級方法在特定實(shí)踐領(lǐng)域中的應(yīng)用。文章說明了如何通過熟練地使用數(shù)據(jù)分析方法從數(shù)據(jù)中獲得新的特定于領(lǐng)域的知識。該雜志還發(fā)表調(diào)查論文，概述和闡明特殊方法的基本思想和技術(shù)。

The international journal Advances in Data Analysis and Classification (ADAC) is designed as a forum for high standard publications on research and applications concerning the extraction of knowable aspects from many types of data. It publishes articles on such topics as structural, quantitative, or statistical approaches for the analysis of data; advances in classification, clustering, and pattern recognition methods; strategies for modeling complex data and mining large data sets; methods for the extraction of knowledge from data, and applications of advanced methods in specific domains of practice. Articles illustrate how new domain-specific knowledge can be made available from data by skillful use of data analysis methods. The journal also publishes survey papers that outline, and illuminate the basic ideas and techniques of special approaches.