Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery is a journal indexed in SJR in Computer Science (miscellaneous) with an H index of 79. It has a price of 2500 €. It has a COP Index of 17,3 (best band D1). It has a COP Index of 17,3.
5 of 247 journals in Computer Science (miscellaneous)
Metrics
Scimago and CountryOfPapers database fields
COP Index
17,3
D1 Top 10%
SJR Impact
2,202
H-index
79
Docs (year)
46
Docs 3y
112
Total refs
6381
Cites 3y
1738
Citable 3y
112
Cites/Doc 2y
16.46
Ref/Doc
138.72
Immediate OA
2500 €
Embargoed OA
NPD
Non OA / Submission
0 €
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Researcher reviews
Best articles by citations
Mining proteomic data for biomedical research
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View moreTunnel crack detection using coarse-to-fine region localization and edge detection
View moreTech mining: Text mining and visualization tools, as applied to nanoenhanced solar cells
View moreSurvey on time series motif discovery
View moreSurvey on establishing the optimal number of factors in exploratory factor analysis applied to data mining
View moreTemporal interval pattern languages to characterize time flow
View moreNoncoding RNAs and their annotation using metagenomics algorithms
View moreNeuromorphic vision: From sensors to event-based algorithms
View moreMultivariate image mining
View moreMulti-label learning: a review of the state of the art and ongoing research
View moreOn the discovery of association rules by means of evolutionary algorithms
View moreMining large medical claims database to identify high-risk patients: The case of antidepressant utilization
View moreMining flexible-receptor molecular docking data
View moreLeukemia blast cell identification
View moreKnowledge discovery and semantic learning in the framework of axiomatic fuzzy set theory
View moreInternet of Things and data analytics: A current review
View moreInformation enhancement for data mining
View moreGene expression modular analysis: an overview from the data mining perspective
View moreFuzzy logic-based linguistic summaries of time series: a powerful tool for discovering knowledge on time varying processes and systems under imprecision
View moreFuzzy frameworks for mining data associations: fuzzy association rules and beyond
View moreFundamentals of association rules in data mining and knowledge discovery
View moreFrom existing trends to future trends in privacy-preserving collaborative filtering
View more