Data Mining and Knowledge Discovery is a leading technical journal focusing on the extraction of information from vast databases. Publishes original research papers and practice in data mining and knowledge discovery. Provides surveys and tutorials of important areas and techniques. Offers detailed descriptions of significant applications. Addresses theory, foundational issues, data mining methods, and knowledge discovery processes. Renowned for its focus on techniques and applications.
⚡ Speed vs Prestige
How does this journal balance review speed with impact level?
Based on the Think.Check.Submit framework by DOAJ, COPE & OASPA. All data from verified open sources.
Publication & Citation Trend
Articles published
Times cited
2019
2020
2021
2022
2023
2024
2025
2026
Source: OpenAlex · Note: citations accumulate over time so older years appear higher
SJR Quartile by Discipline
Scimago ranks this journal separately in each subject category — its quartile can differ by discipline.
Computer Networks and CommunicationsQ1
Computer Science ApplicationsQ1
Information SystemsQ1
Subject Classification
Web of Science Categories
Computer Science, Artificial IntelligenceComputer Science, Information Systems
Scopus Categories
Information SystemsComputer Networks and CommunicationsComputer Science Applications
Research Topics (OpenAlex)
Data Mining Algorithms and ApplicationsTime Series Analysis and ForecastingData Management and AlgorithmsAnomaly Detection Techniques and ApplicationsComplex Network Analysis TechniquesAdvanced Graph Neural NetworksRough Sets and Fuzzy LogicMachine Learning and Data ClassificationImbalanced Data Classification TechniquesAdvanced Clustering Algorithms Research