Data Mining and Knowledge Discovery publishes original technical papers in both the research and practice of data mining and knowledge discovery, surveys and tutorials of important areas and techniques, and detailed descriptions of significant applications.
Journal Home:  Journal Homepage
Editor-in-Chief:  Johannes Fürnkranz
scope: The premier technical publication in the field, Data Mining and Knowledge Discovery is a resource collecting relevant common methods and techniques and a forum for unifying the diverse constituent research communities.
Print ISSN:  1384-5810
Electronic ISSN:  1573-756X
Abstracting and Indexing:  Science Citation Index Expanded. Scopus.
Imapct Factor 2021:  5.406
Subject Area and Category:  Computer Sciences, Library and Information Science, Electronics and Telecommunications
Publication Frequency:  Bimonthly
H Index:  104
Q1:  Information Systems
Cite Score:  8.6
Journal Rank(SJR):  1.615
Latest Articles:   Latest Articles in Data Mining and Knowledge Discovery
Guidelines for Authors: Data Mining and Knowledge Discovery Author Guidelines
Paper Submissions: Paper Submissions in Data Mining and Knowledge Discovery