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Data Mining and Knowledge Discovery : Impact Factor & More
eISSN: 1573-756XpISSN: 1384-5810
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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
Data Mining and Knowledge Discovery Key Metrics
CiteScore 
8.6
Eigenfactor
0.001 - 0.005
H-Index
110
Impact Factor
< 5
SJR
Q1Information Systems
SNIP
2.53
Time to Publish
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Time to Publish
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% of papers by time taken from submission to publication
0 to 3 months0%
4 to 6 months26%
7 to 9 months24%
Above 9 months50%
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Topics Covered on Data Mining and Knowledge Discovery
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
Data Mining and Knowledge Discovery 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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Recently Published Papers in Data Mining and Knowledge Discovery
A probabilistic model for API contract specification retrieval focusing on the openAPI standard
- 13 Nov 2024
- Data Mining and Knowledge Discovery
Correction: FRAPPE: fast rank approximation with explainable features for tensors
- 12 Oct 2024
- Data Mining and Knowledge Discovery
FRAPPE: fast rank approximation with explainable features for tensors
- 26 Sep 2024
- Data Mining and Knowledge Discovery
FRUITS: feature extraction using iterated sums for time series classification
- 14 Sep 2024
- Data Mining and Knowledge Discovery
Bounding the family-wise error rate in local causal discovery using Rademacher averages
- 9 Sep 2024
- Data Mining and Knowledge Discovery
Evaluating the disclosure risk of anonymized documents via a machine learning-based re-identification attack
- 3 Sep 2024
- Data Mining and Knowledge Discovery
A probabilistic model for API contract specification retrieval focusing on the openAPI standard
- 13 Nov 2024
- Data Mining and Knowledge Discovery
Correction: FRAPPE: fast rank approximation with explainable features for tensors
- 12 Oct 2024
- Data Mining and Knowledge Discovery
FRAPPE: fast rank approximation with explainable features for tensors
- 26 Sep 2024
- Data Mining and Knowledge Discovery
FRUITS: feature extraction using iterated sums for time series classification
- 14 Sep 2024
- Data Mining and Knowledge Discovery
Bounding the family-wise error rate in local causal discovery using Rademacher averages
- 9 Sep 2024
- Data Mining and Knowledge Discovery
Evaluating the disclosure risk of anonymized documents via a machine learning-based re-identification attack
- 3 Sep 2024
- Data Mining and Knowledge Discovery
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Compare journals across 7 parameters SJR Ranking, Topics covered, Indexing Database, Publication Review Time, Publication Type, Article Processing Charges & Recently Published papers
SJR Ranking, Topics covered, Indexing Database, Publication Review Time, Publication Type, Article Processing Charges & Recently Published papers
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FAQs on Data Mining and Knowledge Discovery
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 year?
In 2023, Data Mining and Knowledge Discovery publsihed 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 is 1384-5810.
What is Citescore for Data Mining and Knowledge Discovery?
Citescore for Data Mining and Knowledge Discovery is 8.6.
What is the 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.
