Aims and Scope of Data Mining and Knowledge Discovery
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
CiteScore 

8.6
Eigenfactor 

0.001 - 0.005
H-Index 

110
Impact Factor 

< 5
SJR 

Q1Information Systems

SNIP 

2.53
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Topics Covered on Data Mining and Knowledge Discovery
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
Multi-hop clustering for reasoning chain extraction in multi-hop question answering
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Prompt-tuning for improving knowledge tracing in intelligent tutoring
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Entropy-regularized multimodal fusion for robust and explainable knowledge graph completion
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Improve contrastive clustering performance by multiple fusing-augmenting ViT blocks
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Multi-hop clustering for reasoning chain extraction in multi-hop question answering
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Prompt-tuning for improving knowledge tracing in intelligent tutoring
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Entropy-regularized multimodal fusion for robust and explainable knowledge graph completion
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Scalable multi-view clustering via explicit kernel features maps
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Instance space of clustering validation measures
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- Data Mining and Knowledge Discovery
Improve contrastive clustering performance by multiple fusing-augmenting ViT blocks
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