Introduction to Journal of Data Analysis and Knowledge Discovery

Data Analysis and Knowledge Discovery (CN: 10-1478/G2) is a large monthly journal with high academic value. Since its inception, it has selected new topics without losing its coverage, and served the public without losing its theoretical height. It is well received by the industry and readers.

The content of Data Analysis and Knowledge Discovery is positioned to widely absorb technologies and methods in computer science, data science, information science, digital research, digital education, digital culture and other fields, and study technologies, methods, systems and support facilities in data driven semantic computing, content analysis, data mining, knowledge discovery, intelligent management and decision support Policies and mechanisms, especially theories, methods and technologies that focus on mining and discovering knowledge from massive, heterogeneous, distributed, dynamic, and even rich media data to support research, management, and decision-making.

Column setting of data analysis and knowledge discovery magazine

Mathematics library, knowledge organization and knowledge management, information analysis and research, application practice, dynamics, invited columns, financial securities management, enterprise information management technology

Honorary Information of Journal of Data Analysis and Knowledge Discovery

• China Excellent Journal Selection Database
• China Journal Full Text Database (CJFD)
• Excellent Journals of Chinese Sci tech Journals
• Periodicals included in Peking University Library

Data analysis and knowledge discovery magazine subscription mode

Address: No. 33, North Fourth Ring Road West, Zhongguancun, Beijing, 100190.

Notice to Contributors of Data Analysis and Knowledge Discovery Magazine

1. The journal tries out the system of anonymous expert review. If the editorial department does not send a notice of using the manuscript within three months after receiving the manuscript, the author should handle it by himself.

2. If the thesis is the result of a funded project, please indicate the name of the fund and the project, and this journal will give priority to employment.

3. The title should reflect the specific content of the article properly and concisely, and should conform to the principles followed in compiling the title, indexing and selecting keywords. The Chinese title should generally not exceed 20 words.

4. Author information, name: work unit, zip code, city.

5. There should be no less than five references to the article, which should be listed at the end of the article and the relevant contents should be noted according to the requirements of item *.