雜志介紹

Advances In Data Analysis And Classification雜志介紹

《Advances In Data Analysis And Classification》是一本以English為主的未開放獲取國際優秀期刊，中文名稱數據分析和分類的進展，本刊主要出版、報道計算機科學-STATISTICS & PROBABILITY領域的研究動態以及在該領域取得的各方面的經驗和科研成果，介紹該領域有關本專業的最新進展，探討行業發展的思路和方法，以促進學術信息交流，提高行業發展。該刊已被國際權威數據庫SCIE收錄，為該領域相關學科的發展起到了良好的推動作用，也得到了本專業人員的廣泛認可。該刊最新影響因子為1.4，最新CiteScore 指數為3.4。

本刊近期中國學者發表的論文主要有：

• Sparse correspondence analysis for large contingency tables

  Author: Liu, Ruiping; Niang, Ndeye; Saporta, Gilbert; Wang, Huiwen

• A class of semi-supervised support vector machines by DC programming

  Author: Liming Yang, Laisheng Wang

• Feature selection for fault level diagnosis of planetary gearboxes

  Author: Zhiliang Liu, Xiaomin Zhao, Ming J. Zuo, Hongbing Xu

• Principal component analysis for probabilistic symbolic data: a more generic and accurate algorithm

  Author: Meiling Chen, Huiwen Wang, Zhongfeng Qin

英文介紹

Advances In Data Analysis And Classification雜志英文介紹

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.