Intelligent Data Analysis

杂志介绍

Intelligent Data Analysis杂志介绍

《Intelligent Data Analysis》是一本以English为主的未开放获取国际优秀期刊，中文名称智能数据分析，本刊主要出版、报道计算机科学-COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE领域的研究动态以及在该领域取得的各方面的经验和科研成果，介绍该领域有关本专业的最新进展，探讨行业发展的思路和方法，以促进学术信息交流，提高行业发展。该刊已被国际权威数据库SCIE收录，为该领域相关学科的发展起到了良好的推动作用，也得到了本专业人员的广泛认可。该刊最新影响因子为0.9，最新CiteScore 指数为2.2。

本刊近期中国学者发表的论文主要有：

• Efficiently mining maximal l -reachability co-location patterns from spatial data sets

  Author: Zou, Muquan; Wang, Lizhen; Wu, Pingping; Tran, Vanha

• A grouping feature selection method based on feature interaction

  Author: Zhou, Hongfang; An, Lei; Zhu, Rourou

• Dynamic gaussian deep belief network design and stock market application

  Author: Xi, Shuyue; Xu, Xiaozhong

• Temporal motif-based attentional graph convolutional network for dynamic link prediction

  Author: Wu, Zheng; Chen, Hongchang; Zhang, Jianpeng; Pei, Yulong; Huang, Zishuo

英文介绍

Intelligent Data Analysis杂志英文介绍

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.