Data Mining and Knowledge Discovery
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Aims and Scope
Data Mining and Knowledge Discovery is a bimonthly peer-reviewed scientific journal focusing on data mining published by Springer Science+Business Media. It was started in 1996 and launched in 1997 by Usama Fayyad as founding Editor-in-Chief by Kluwer Academic Publishers (later becoming Springer). The first Editorial provides a summary of why it was started. Less
Key Metrics
View Chart Journal Specifications
- PublisherSPRINGER
- LanguageEnglish
- FrequencyBi-monthly
- LanguageEnglish
- FrequencyBi-monthly
- Publication Start Year1997
- Publisher URL
- Website URL
| Months | % Papers published |
|---|---|
| 0-3 | 0% |
| 4-6 | 22% |
| 7-9 | 19% |
| >9 | 59% |
Topics Covered
Year-wise Publication
- 5Y
- 10Y
FAQs
Since when has Data Mining and Knowledge Discovery been publishing? 
The Data Mining and Knowledge Discovery has been publishing since 1997 till date.
How frequently is the Data Mining and Knowledge Discovery published?
Data Mining and Knowledge Discovery is published Bi-monthly.
What is the H-index. SNIP score, Citescore and SJR of Data Mining and Knowledge Discovery?
Data Mining and Knowledge Discovery has a H-index score of 110, Citescore of 8.6, SNIP score of 2.53, & SJR of Q1
Who is the publisher of Data Mining and Knowledge Discovery?
The publisher of Data Mining and Knowledge Discovery is SPRINGER.
Where can I find a journal's aims and scope of Data Mining and Knowledge Discovery?
For the Data Mining and Knowledge Discovery's Aims and Scope, please refer to the section above on the page.
How can I view the journal metrics of Data Mining and Knowledge Discovery on editage?
For the Data Mining and Knowledge Discovery metrics, please refer to the section above on the page.
What is the eISSN and pISSN number of Data Mining and Knowledge Discovery?
The eISSN number is 1573-756X and pISSN number is 1384-5810 for Data Mining and Knowledge Discovery.
What is the focus of this journal?
The journal covers a wide range of topics inlcuding Time series, Social attention, Observational study, Time series classification, Deep learning, Concept drift, Memory management, Integer programming, Ground truth, Image content, Dynamic time warping, Tensor decomposition, Feature extraction, Anomaly detection, Katz index, Random projection, Markov random field, Sequence.
Why is it important to find the right journal for my research?
Choosing the right journal ensures that your research reaches the most relevant audience, thereby maximizing its scholarly impact and contribution to the field.
Can the choice of journal affect my academic career?
Absolutely. Publishing in reputable journals can enhance your academic profile, making you more competitive for grants, tenure, and other professional opportunities.
Is it advisable to target high-impact journals only?
While high-impact journals offer greater visibility, they are often highly competitive. It's essential to balance the journal's impact factor with the likelihood of your work being accepted.