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ACM Transactions on Knowledge Discovery From Data Journal | 2020 Impact Factor:2.010|Cite Score:4.3|Q1

ACM Transactions on Knowledge Discovery From Data Journal

Impact Factor and Journal Rank of ACM Transactions on Knowledge Discovery From Data Journal

About:

ACM Transactions on Knowledge Discovery from Data (TKDD) welcomes papers on a full range of research in the knowledge discovery and analysis of diverse forms of data.

Journal Home:  Journal Homepage

Editor-in-Chief:  Philip S. Yu

scope: TKDD welcomes papers on a full range of research in the knowledge discovery and analysis of diverse forms of data. Such subjects include, but are not limited to: scalable and effective algorithms for data mining and big data analysis, mining brain networks, mining data streams, mining multi-media data, mining high-dimensional data, mining text, Web, and semi-structured data, mining spatial and temporal data, data mining for community generation, social network analysis, and graph.

Print ISSN:   1556-4681

Electronic ISSN:   1556-472X

Abstracting and Indexing:  Science Citation Index Expanded. Scopus.

Imapct Factor 2020:  2.010

Subject Area and Category:  Computer Science

Publication Frequency:  Quarterly

H Index:  59

Best Quartile:

Q1:  General Computer Science

Q2:  

Q3:  

Q4:  

Cite Score:  4.3

SNIP:  1.715

Journal Rank(SJR):  0.728

Publisher:  ACM-Association for Computing Machinery New York

Country:  USA