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.
Key Metrics
8.6
CiteScore
CiteScore
CiteScore measures average citations received per document published in the serial.
0.001 - 0.005
Eigenfactor
Eigenfactor
Eigenfactor Score measures the number of times articles from the journal published in the past five years have been cited. This does not include self citations.
< 5
Impact Factor
Impact Factor
Impact factor of a journal is calculated by dividing the number of current year citations to the source items published in that journal during the previous two years.
110
H index
H-Index
Journal's h-index reflects the collective citation impact of the authors publishing in the journal. The h-index is defined as the maximum value of h such that the given journal has published at least h papers that have each been cited at least h times.
Q1
Information Systems
SJR
- Q1 Information Systems
- Q1 Computer Science Applications
- Q1 Computer Networks and Communications
SJR
SJR
SCImago Journal Rank measures weighted citations received by the serial. Citation weighting depends on subject field and prestige (SJR) of the citing serial.
2.53
SNIP
SNIP
Source Normalized Impact per Paper measures actual citations received relative to citations expected for the serial’s subject field.
13 Mo
Time to Publish
Time to Publish
Based on turnaround time from submission to publication for papers (articles & reviews) published in 2022 and for journals with a sample of more than 10 papers.
Topics Covered
- 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
Journal Specifications
| Overview | |
| Publisher | SPRINGER |
| Language | English |
| Frequency | Bi-monthly |
| General Details | |
| Language | English |
| Frequency | Bi-monthly |
| Publication Start Year | 1997 |
| Publisher URL | Visit website |
| Website URL | Visit website |
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Check my PaperRecently Published Papers
-
Full paper
Randomnet: clustering time series using untrained deep neural networks
- 22 Jun 24
- Data Mining and Knowledge Discovery
-
Full paper
Robust explainer recommendation for time series classification
- 20 Jun 24
- Data Mining and Knowledge Discovery
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Full paper
Series2vec: similarity-based self-supervised representation learning for time series classification
- 20 Jun 24
- Data Mining and Knowledge Discovery
-
Full paper
GeoRF: a geospatial random forest
- 19 Jun 24
- Data Mining and Knowledge Discovery
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Full paper
Modelling event sequence data by type-wise neural point process
- 17 Jun 24
- Data Mining and Knowledge Discovery
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Full paper
The impact of variable ordering on Bayesian network structure learning
- 8 Jun 24
- Data Mining and Knowledge Discovery
Scite analysis
Powered by scite_
1.2k articles received 35.1k citations see all
- 171 Supporting
- 34,378 Mentioning
- 10 Contrasting
Editorial notices
- 0 Retractions
- 0 Withdrawals
- 6 Corrections
- 3 Errata
- 0 Expression of Concern
Time To Publish
Time to Publish
Based on turnaround time from submission to publication for papers (articles & reviews) published in 2022 and for journals with a sample of more than 10 papers.
Time to Publish
Based on turnaround time from submission to publication for papers (articles & reviews) published in 2022 and for journals with a sample of more than 10 papers.
% of papers by time taken from submission to publication
0 to 3 months
0%
4 to 6 months
1%
7 to 9 months
16%
Above 9 months
83%
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FAQs
How long has Data Mining and Knowledge Discovery been actively publishing?
Data Mining and Knowledge Discovery has been in operation since 1997 till date.
What is the publishing frequency of Data Mining and Knowledge Discovery ?
Data Mining and Knowledge Discovery published with a Bi-monthly frequency.
How many articles did Data Mining and Knowledge Discovery publish last years ?
In 2023, Data Mining and Knowledge Discovery published 94 articles.
What is the eISSN & pISSN for Data Mining and Knowledge Discovery ?
For Data Mining and Knowledge Discovery,eISSN is 1573-756X and pISSN is1384-5810.
What is Citescore for Data Mining and Knowledge Discovery ?
Citescore for Data Mining and Knowledge Discovery is 8.6.
What is H index for Data Mining and Knowledge Discovery ?
H index for Data Mining and Knowledge Discovery is 110.
What is SNIP score for Data Mining and Knowledge Discovery ?
SNIP score for Data Mining and Knowledge Discovery is 2.53.
What is the SJR for Data Mining and Knowledge Discovery ?
SJR for Data Mining and Knowledge Discovery is Q1.
Who is the publisher of Data Mining and Knowledge Discovery ?
SPRINGER is the publisher of Data Mining and Knowledge Discovery.