Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery

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WIREs., Data mining and knowledge discovery

756

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44.3K

Citations

753

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Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery is a journal.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	74	276	33K
2	Business	21	26	4K
3	Arts	16	18	1.1K
4	Education	10	10	1.6K
5	Health Sciences	7	7	475

Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery

756

Publications

44.3K

Citations

Showing yearly statistics from 2000-2026.

Page 1

	Year	Citations
Ensemble learning: A survey Omer Sagi, Lior Rokach Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery EngineeringMachine LearningMining MethodsEnsemble MethodsClassification Method	2018	2.9K
Classification and regression trees Wei‐Yin Loh Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery EngineeringMachine LearningMining MethodsDecision AnalyticsKnowledge Discovery In Databases	2011	2.1K
Deep learning for sentiment analysis: A survey Lei Zhang, Shuai Wang, Bing Liu Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery EngineeringMachine LearningMultimodal Sentiment AnalysisRecurrent Neural NetworkSentiment Analysis	2018	1.8K
Algorithms for hierarchical clustering: an overview Fionn Murtagh, Pedro Contreras Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery Cluster ComputingDocument ClusteringClustering (Nuclear Physics)Linear TimeData Science	2011	1.7K
Hyperparameters and tuning strategies for random forest Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery	2019	1.3K
Bias in data‐driven artificial intelligence systems—An introductory survey Eirini Ntoutsi, Pavlos Fafalios, Ujwal Gadiraju, Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery Artificial IntelligenceEngineeringEthics In Natural Language ProcessingLawLegal Aspects Of Data Mining	2020	940
Educational data mining and learning analytics: An updated survey Cristóbal Romero, Sebastián Ventura Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery	2020	891
Overview of random forest methodology and practical guidance with emphasis on computational biology and bioinformatics Anne‐Laure Boulesteix, Silke Janitza, Jochen Kruppa, Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery EngineeringForest BiometricsPractical GuidanceForestryFeature Selection	2012	891
Density‐based clustering Hans‐Peter Kriegel, Peer Kröger, Jörg Sander, Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery Cluster ComputingEngineeringMining MethodsUnsupervised Machine LearningCluster Technology	2011	800
Data mining in education Cristóbal Romero, Sebastián Ventura Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery Mining ProblemEngineeringBusiness IntelligenceEducational InformaticsEducation	2012	773

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