DATA MINING AND KNOWLEDGE DISCOVERY
Note: The following journal information is for reference only. Please check the journal website for updated information prior to submission.
Journal Title
DATA MINING AND KNOWLEDGE DISCOVERY
DATA MIN KNOWL DISC
ISSN / eISSN
1384-5810 / 1573-756X
Aims and 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.
Subject Area
COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
COMPUTER SCIENCE, INFORMATION SYSTEMS
CiteScore
10.40
View Trend
CiteScore Ranking
Category | Quartile | Rank |
---|---|---|
Computer Science - Computer Networks and Communications | Q1 | #40/395 |
Computer Science - Computer Science Applications | Q1 | #93/817 |
Computer Science - Information Systems | Q1 | #52/394 |
Web of Science Core Collection
Science Citation Index Expanded (SCIE) | Social Sciences Citation Index (SSCI) |
---|---|
Indexed | - |
Category (Journal Citation Reports 2024) | Quartile |
---|---|
COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Q2 |
COMPUTER SCIENCE, INFORMATION SYSTEMS | Q2 |
H-index
87
Country/Area of Publication
NETHERLANDS
Publisher
Springer US
Publication Frequency
Bimonthly
Year Publication Started
1997
Annual Article Volume
88
Open Access
NO
Contact
SPRINGER, VAN GODEWIJCKSTRAAT 30, DORDRECHT, NETHERLANDS, 3311 GZ
Verified Reviews
05 Nov 2022 Editor Invited
02 Dec 2022 Editor Assigned
12 Dec 2022 Under Review
23 Dec 2022 Under Review
06 Jan 2023 Under Review
07 Jan 2023 Under Review
28 Jan 2023 Reminder sent, editor said "the first review report for your manuscript has been generated and it is now assigned to the second reviewer." Does this journal assign reviewers one by one? This seems too slow. Can I ask how many reviewers are usually involved, experts?
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