Data Mining and Knowledge Discovery
SJR Rank #3,630H-index: 131SJR: 1.200Best quartile: Q1APC: US$3,190
Journal website: aims, scope and author guidelinesPublisher
Springer Netherlands
Country
Netherlands
Type
journal
SJR by Edition
Subject Categories
- Computer Networks and CommunicationsQ1
- Computer Science ApplicationsQ1
- Information SystemsQ1
Areas: Computer Science
Most published research topics
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
Source: OpenAlex
Publication Statistics
Documents per Year
Detailed Information
ISSN
1384-5810, 1573-756X
SJR Best Quartile
Q1
Region
Western Europe
Citations per Document (2 years)
6.52
References per Document
53.62
Coverage
1997-2026
Scope
Advances in data gathering, storage, and distribution have created a need for computational tools and techniques to aid in data analysis. Data Mining and Knowledge Discovery in Databases (KDD) is a rapidly growing area of research and application that builds on techniques and theories from many fields, including statistics, databases, pattern recognition and learning, data visualization, uncertainty modelling, data warehousing and OLAP, optimization, and high performance computing.
Metrics from SCImago Journal Rank 2025. View on SCImago