Advances In Data Analysis And Classification

Journal Title：Advances In Data Analysis And Classification

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.

国际期刊《数据分析与分类进展》（ADAC）旨在为高水准出版物提供一个平台，发表从多种类型的数据中提取可知方面的研究和应用。它发表的文章主题包括数据分析的结构、定量或统计方法；分类、聚类和模式识别方法的进展；复杂数据建模和大数据集挖掘策略；从数据中提取知识的方法，以及高级方法在特定实践领域的应用。文章阐述了如何通过熟练使用数据分析方法从数据中获取新的领域特定知识。该期刊还发表概述和阐明特殊方法的基本思想和技术的调查论文。

Advances In Data Analysis And Classification创刊于2007年，由Springer Berlin Heidelberg出版商出版，收稿方向涵盖STATISTICS & PROBABILITY全领域，此期刊水平偏中等偏靠后，在所属细分领域中专业影响力一般，过审相对较易，如果您文章质量佳，选择此期刊，发表机率较高。平均审稿速度 12周，或约稿 ，影响因子指数1.4，该期刊近期没有被列入国际期刊预警名单，广大学者值得一试。