Journal profile · Computer Science, Artificial Intelligence
Data Mining and Knowledge Discovery
ISSN 1384-5810 · eISSN 1573-756X · Springer US · NETHERLANDS · Bimonthly · Founded 1997
Data Mining and Knowledge Discovery: CAS Zone 3 · Computer Science (2025 upgraded edition); impact factor 5.47; hybrid open access; APC about USD 3,190; median 261 days to acceptance (109 articles, last 24 months); community-reported acceptance: fairly easy; 93 articles in 2025; indexed in SCIE and Scopus.
Scope
Aims, scope and focus
Data Mining and Knowledge Discovery is published by Springer US and is in Zone 3 of Computer Science in the CAS Journal Ranking (2025 upgraded edition). By OpenAlex counts of its recent articles, its largest topics are Data Mining Algorithms and Applications, Time Series Analysis and Forecasting and Data Management and Algorithms, together about 27.6% of its articles. Its main subfields are Artificial Intelligence. (generated from OpenAlex topic counts and CAS ranking data)
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. KDD is concerned with issues of scalability, the multi-step knowledge discovery process for extracting useful patterns and models from raw data stores (including data cleaning and noise modelling), and issues of making discovered patterns understandable. Data Mining and Knowledge Discovery is the premier technical publication in the field, providing a resource collecting relevant common methods and techniques and a forum for unifying the diverse constituent research communities. The journal publishes original technical papers in both the research and practice of DMKD, surveys and tutorials of important areas and techniques, and detailed descriptions of significant applications. Short (2-4 pages) application summaries are published in a special section. The journal accepts paper submissions of any work relevant to DMKD. A summary of the scope of Data Mining and Knowledge Discovery includes:Theory and Foundational Issues: Data and knowledge representation; modelling of structured, textual, and multimedia data; uncertainty management; metrics of interestingness and utility of discovered knowledge; algorithmic complexity, efficiency, and scalability issues in data mining; statistics over massive data sets. Data Mining Methods: including classification, clustering, probabilistic modelling, prediction and estimation, dependency analysis, search, and optimization. Algorithms for data mining including spatial, textual, and multimedia data (e.g., the Web), scalability to large databases, parallel and distributed data mining techniques, and automated discovery agents. Knowledge Discovery Process: Data pre-processing for data mining, including data cleaning, selection, efficient sampling, and data reduction methods; evaluating, consolidating, and explaining discovered knowledge; data and knowledge visualization; interactive data exploration and discovery. Application Issues: Application case studies; data mining systems and tools; details of successes and failures of KDD; resource/knowledg
From the journal's Aims & Scope
Research area (LetPub): Computer Science, Artificial Intelligence
Editor-in-chief Eyke HuPublisher website
Editorial board by country: 3 in mainland China (about 2%); most named United States 35, Germany 17, France 10, Finland 9, Italy 8 (129 members with a country) Editorial board ↗Publisher website ·
Main research topics OpenAlex counts of recent articles; shares are approximate
- Data Mining Algorithms and ApplicationsComputer Science10.6%
- Time Series Analysis and ForecastingComputer Science9.1%
- Data Management and AlgorithmsComputer Science7.9%
- Anomaly Detection Techniques and ApplicationsComputer Science7.1%
- Complex Network Analysis TechniquesPhysics and Astronomy6.5%
- Advanced Graph Neural NetworksComputer Science5.9%
- Rough Sets and Fuzzy LogicComputer Science4.9%
- Machine Learning and Data ClassificationComputer Science4.8%
Rankings & indexing
CAS ranking and database indexing
CAS Journal Ranking
CAS Journal Ranking, upgraded edition (March 2025)Computer Science Zone 3
| Level | Category | Zone |
|---|---|---|
| Major | Computer Science | Zone 3 |
| Minor | Computer Science, Artificial Intelligence | Zone 3 |
| Minor | Computer Science, Information Systems | Zone 4 |
Top journal: noReview journal: no
CAS Xinrui Journal Ranking (March 2026)Computer Science Zone 3
| Level | Category | Zone |
|---|---|---|
| Major | Computer Science | Zone 3 |
| Minor | Computer Science, Artificial Intelligence | Zone 3 |
| Minor | Computer Science, Information Systems | Zone 3 |
Top journal: noReview journal: not marked
CAS Journal Ranking, previous upgraded edition (December 2023)Computer Science Zone 3
| Level | Category | Zone |
|---|---|---|
| Major | Computer Science | Zone 3 |
| Minor | Computer Science, Artificial Intelligence | Zone 3 |
| Minor | Computer Science, Information Systems | Zone 3 |
Top journal: noReview journal: no
Database indexing
SCIEScopusLetPub
International journal early-warning lists: not listed in any editionLetPub
Indexing the journal's website claims
EI CompendexINSPECzbMATHDBLPCurrent ContentsPublisher website
Other: Google Scholar, EBSCO, ProQuest, Dimensions, CNKI, Baidu, ACM Digital Library, Naver, OCLC, Portico, CLOCKSS
As the journal's website lists them, not checked against each database; for Web of Science editions the records above apply.
Editions, and major and minor categories, are shown separately and never merged into one zone; check which edition your institution uses before you submit or report.
Metrics
Impact metrics and publication volume
Impact
- Impact factor
- 5.47LetPub ·
- Impact factor (publisher) 2025
- 5.5Publisher website ·
- 5-year impact factor (publisher) 2025
- 6.7Publisher website ·
- CiteScore 2026-06
- 9.7LetPub ·
- SJR 2026-06
- 1.2LetPub ·
- SNIP 2026-06
- 2.33LetPub ·
- h-index
- 87LetPub ·
- h-index
- 145OpenAlex ·
- i10-index
- 858OpenAlex ·
- 2-year mean citedness
- 4.63OpenAlex ·
- Self-citation rate
- 3.6%LetPub ·
- Share of gold OA articles
- 47.37%LetPub ·
Volume
- Articles per year
- 90LetPub ·
- Downloads per year (publisher) 2025
- 563,900Publisher website ·
Articles by year OpenAlex count · 1,419 in total · the current year is incomplete
| Year | Articles | Open access | Citations |
|---|---|---|---|
| 2026 | 96 | 47 | 39 |
| 2025 | 93 | 47 | 220 |
| 2024 | 90 | 64 | 1,034 |
| 2023 | 94 | 57 | 2,057 |
| 2022 | 92 | 57 | 2,540 |
| 2021 | 81 | 53 | 1,551 |
Sources count differently and were observed at different times, so each source's own value is kept; "publisher" marks figures from the journal's website.
Review & acceptance
Review time and acceptance
Review time from article dates manuscript dates registered with Crossref · to
261 daysMedian, submission to acceptance · P25–P75 154 days – 388 days
- Acceptance to online
- median 28 days (109 articles)
- Submission to online
- median 294 days
- Sample
- 109 articles with submission and acceptance dates (190 in the window); the latest was accepted on
Only articles that were accepted and published are counted, not the time spent on rejected manuscripts, so this usually runs longer than a publisher's "time to first decision".
Other sources
- Average review time (community reports)
- about 6 monthsLetPub ·
- Average acceptance (community reports)
- Fairly easyLetPub ·
- Submission to first decision
- 3 daysPublisher website ·
- Peer review
- Double anonymous peer reviewPublisher website
Community reports come from authors' own submissions (confidence 0.5) and are not a promise from the journal; for publisher figures, the journal's own definitions apply.
Fees & open access
APC and open-access policy
Hybrid open accessLetPub
A subscription journal in which authors can pay to publish their article open access.
| Source | APC | Fee waiver | License | Observed |
|---|---|---|---|---|
| OpenAlex | USD 3,190 / EUR 2,590 / GBP 2,290 | — | — |
A hybrid journal charges the APC only when the author chooses open access; publishing under the subscription model is usually free.
The journal's website is authoritative for fees; sources were observed at different times and each keeps its own value, without averaging.
Submission
Article types and submission policies (journal website)
Open calls for papers1, by deadline
Publisher websiteWhat to prepare4 items from the author guidelines
- Abstract
- 150–250 words
- Keywords
- ≥ 4
- Reference style
- Author–date
- Suggested reviewers
- Optional
Article types accepted5
- opinionAuthors are encouraged to submit high quality, original work that has not appeared in, nor is under consideration by, other journals. We accept the following ty…Length not stated
- perspectiveAuthors are encouraged to submit high quality, original work that has not appeared in, nor is under consideration by, other journals. We accept the following ty…Length not stated
- regular paperAuthors are encouraged to submit high quality, original work that has not appeared in, nor is under consideration by, other journals. We accept the following ty…Length not stated
- surveyAuthors are encouraged to submit high quality, original work that has not appeared in, nor is under consideration by, other journals. We accept the following ty…Length not stated
- tutorialAuthors are encouraged to submit high quality, original work that has not appeared in, nor is under consideration by, other journals. We accept the following ty…Length not stated
Policy excerpts from the journal's websiteAI use, Authorship, Conflicts of interest, Data availability, Publication ethics, License & copyright, Open access
- AI use Generative AI Images
Please check Springer’s policy on generative AI images and make sure your work adheres to the principles described therein. Back to top
Source ↗Publisher website ·- Authorship Authorship principles
These guidelines describe authorship principles and good authorship practices to which prospective authors should adhere to. Authorship clarified The Journal and Publisher assume all authors agreed with the content and that all gave explicit consent to submit and that they obtained consent from the responsible authorities at the institute/organization where the work has been carried out, before th…
Source ↗Publisher website ·- Conflicts of interest Disclosures and declarations
All authors are requested to include information regarding sources of funding, financial or non-financial interests, study-specific approval by the appropriate ethics committee for research involving humans and/or animals, informed consent if the research involved human participants, and a statement on welfare of animals if the research involved animals (as appropriate). The decision whether such …
Source ↗Publisher website ·- Data availability Data availability statements
All original research must include a data availability statement. This statement should explain how to access data supporting the results and analysis in the article, including links/citations to publicly archived datasets analysed or generated during the study. Please see our full policy here. If it is not possible to share research data publicly, for instance when individual privacy could be com…
Source ↗Publisher website ·- Publication ethics Compliance with Ethical Standards
To ensure objectivity and transparency in research and to ensure that accepted principles of ethical and professional conduct have been followed, authors should include information regarding sources of funding, potential conflicts of interest (financial or non-financial), informed consent if the research involved human participants, and a statement on welfare of animals if the research involved an…
Source ↗Publisher website ·- License & copyright Copyright
Open Choice articles do not require transfer of copyright as the copyright remains with the author. In opting for open access, the author(s) agree to publish the article under a Creative Commons license. Details of the OA licences offered to authors can be found on the individual journal website, in the journal's How to publish with us guide. Back to top
Source ↗Publisher website ·- Open access Open access publishing
To find out more about publishing your work Open Access in Data Mining and Knowledge Discovery, including information on fees, funding and licences, visit our Open access publishing page. Back to top
Source ↗Publisher website ·
Excerpts are quoted from the journal's website; "model summary" lines are written by Workers AI and checked against the text. The journal's website is authoritative.
Profile
Publication details and official links
- Publisher
- Springer US
- Country or region
- NETHERLANDS
- Language
- English
- Frequency
- Bimonthly
- Founded
- 1997
- ISSN
- 1384-5810
- Electronic ISSN
- 1573-756X
- Official links
- Journal homepage ↗OpenAlex
- Submission system ↗Publisher website
- Author guidelines ↗LetPub
- Special issues ↗Publisher website
FAQ
Frequently asked questions about Data Mining and Knowledge Discovery
What CAS zone is Data Mining and Knowledge Discovery in?
In the 2025 upgraded edition of the CAS Journal Ranking, Data Mining and Knowledge Discovery is in Zone 3 of Computer Science, and in Zone 3 of the minor category Computer Science, Artificial Intelligence / Computer Science, Information Systems. In the 2026 Xinrui edition it is in Zone 3 of Computer Science. Zones from different editions, and from major and minor categories, are not interchangeable.
What is the impact factor of Data Mining and Knowledge Discovery?
The latest impact factor listed by LetPub is 5.47; CiteScore 9.7, h-index 145.
How long does peer review take at Data Mining and Knowledge Discovery?
Based on the dates recorded on 109 articles published between October 2024 and October 2026 (the last 24 months), the median time from submission to acceptance is 261 days (interquartile range 154–388 days); authors report an average review time of about 6 months; the community-reported acceptance is “Fairly easy”. Article statistics cover accepted papers only, publisher figures follow the journal's own definitions, and community reports come from authors' own submissions; none is a promise from the journal.
What are the manuscript requirements of Data Mining and Knowledge Discovery?
According to the journal's author guidelines: Abstract: 150–250 words; Keywords: ≥ 4; Reference style: Author–date; Suggested reviewers: Optional. A model extracted these from the author guidelines and each was checked against the text; check the latest version on the journal's website before submitting.
Where are the editorial board members of Data Mining and Knowledge Discovery based?
Of the 129 board members whose country the journal's board page names, 3 (about 2%) are in mainland China; the countries named most often are United States (35), Germany (17) and France (10). Counted from the institutions listed on the board page; for reference only.
Which databases index Data Mining and Knowledge Discovery?
According to LetPub and DOAJ records, Data Mining and Knowledge Discovery is indexed in SCIE and Scopus. The journal's website also lists EI Compendex, INSPEC, zbMATH, DBLP and Current Contents; that list has not been checked against each database.
Is Data Mining and Knowledge Discovery open access, and what is the APC?
Data Mining and Knowledge Discovery is a hybrid journal. For open-access publication: APC about USD 3,190.
Sources and updates
The facts on this page come from LetPub, OpenAlex, Publisher website; every figure is tagged with its source and the date it was observed, and conflicting values are kept per source. LetPub source page: view ↗ (archived 2026-08-26). Last updated: .