International Journal of Data Warehousing and Mining

Papers
(The TQCC of International Journal of Data Warehousing and Mining is 2. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-11-01 to 2024-11-01.)
ArticleCitations
Development of a Framework for Preserving the Disease-Evidence-Information to Support Efficient Disease Diagnosis17
Clustering of COVID-19 Multi-Time Series-Based K-Means and PCA With Forecasting12
P2P-COVID-GAN11
Frameworks for Querying Databases Using Natural Language5
Emotion-Drive Interpretable Fake News Detection5
Resilient Supply Chains to Improve the Integrity of Accounting Data in Financial Institutions Worldwide Using Blockchain Technology5
A Novel Filter-Wrapper Algorithm on Intuitionistic Fuzzy Set for Attribute Reduction From Decision Tables4
Crime Analyses Using Data Analytics4
Large-Scale System for Social Media Data Warehousing4
A New Outlier Detection Algorithm Based on Fast Density Peak Clustering Outlier Factor4
Investigation of Intelligent Service Mode of Digital Stadiums and Gymnasiums in the Context of Smart Cities3
Improving Rumor Detection by Image Captioning and Multi-Cell Bi-RNN With Self-Attention in Social Networks3
Hierarchical Hybrid Neural Networks With Multi-Head Attention for Document Classification3
An Efficient Association Rule Mining-Based Spatial Keyword Index3
Filter-Wrapper Incremental Algorithms for Finding Reduct in Incomplete Decision Systems When Adding and Deleting an Attribute Set3
Association Rule Mining Based on Hybrid Whale Optimization Algorithm3
Boat Detection in Marina Using Time-Delay Analysis and Deep Learning2
Digital Management Strategy of Natural Resource Archives Under Smart City Space-Time Big Data Platform2
Research on Rumor Detection Based on a Graph Attention Network With Temporal Features2
An Engineering Domain Knowledge-Based Framework for Modelling Highly Incomplete Industrial Data2
Fusing Syntax and Semantics-Based Graph Convolutional Network for Aspect-Based Sentiment Analysis2
Enhancing Data Quality at ETL Stage of Data Warehousing2
Efficient Algorithms for Dynamic Incomplete Decision Systems2
Loan Default Prediction Based on Convolutional Neural Network and LightGBM2
RETAD2
A Survey of Collective Anomaly Detection on Sequence Dataset2
Scalable Biclustering Algorithm Considers the Presence or Absence of Properties2
Semi-Supervised Sentiment Classification on E-Commerce Reviews Using Tripartite Graph and Clustering2
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