Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery

SJR Rank #937H-index: 89SJR: 2.556Best quartile: Q1APC: US$4,480
Journal website: aims, scope and author guidelines
Publisher

John Wiley & Sons Inc.

Country

United States

Type

journal

SJR by Edition

2022202500.651.31.952.6

Subject Categories

  • Computer Science (miscellaneous)Q1

Areas: Computer Science

Most published research topics

Data Mining Algorithms and ApplicationsData Management and AlgorithmsDiverse Scientific and Economic StudiesHuman auditory perception and evaluationMachine Learning and Data ClassificationComplex Network Analysis TechniquesAdvanced Clustering Algorithms ResearchTopic ModelingData Stream Mining TechniquesEducational Robotics and Engineering

Source: OpenAlex

Publication Statistics

2025 Docs3-Year DocsCitable Docs0306090120

Documents per Year

20222025020406080

Detailed Information

ISSN

1942-4795, 1942-4787

SJR Best Quartile

Q1

Region

Northern America

Citations per Document (2 years)

23.45

References per Document

135.29

Coverage

2011-2026

Scope

The objectives of WIREs DMKD are to (a) present the current state of the art of data mining and knowledge discovery through an ongoing series of reviews written by leading researchers, (b) capture the crucial interdisciplinary flavor of the field by including articles that address the key topics from the differing perspectives of data mining and knowledge discovery, including a variety of application areas in technology, business, healthcare, education, government and society and culture, (c) capture the rapid development of data mining and knowledge discovery through a systematic program of content updates, and (d) encourage active participation in this field by presenting its achievements and challenges in an accessible way to a broad audience. The content of WIREs DMKD will be useful to upper-level undergraduate and postgraduate students, to teaching and research professors in academic programs, and to scientists and research managers in industry.

Metrics from SCImago Journal Rank 2025. View on SCImago