# IEEE Transactions on Knowledge and Data Engineering

**Type:** Journals  
**Canonical URL:** https://scholariq.org/journals/ieee-transactions-on-knowledge-and-data-engineering/

## Facts

| Field | Value |
| --- | --- |
| Open Access | false |
| ISSN-L | 1041-4347 |
| ISSNs | 1041-4347,1558-2191,2326-3865 |
| OpenAlex ID | https://openalex.org/S30698027 |
| Publisher | IEEE Computer Society |

## Journal papers

Showing 12 of 13.

- [Untangling Blockchain: A Data Processing View of Blockchain Systems](https://scholariq.org/papers/untangling-blockchain-a-data-processing-view-of-blockchain-systems/)
- [Where to Go Next: A Spatio-Temporal Gated Network for Next POI Recommendation](https://scholariq.org/papers/where-to-go-next-a-spatio-temporal-gated-network-for-next-poi-recommendation-2/)
- [XSimGCL: Towards Extremely Simple Graph Contrastive Learning for Recommendation](https://scholariq.org/papers/xsimgcl-towards-extremely-simple-graph-contrastive-learning-for-recommendation/)
- [Fast Multi-View Clustering Via Ensembles: Towards Scalability, Superiority, and Simplicity](https://scholariq.org/papers/fast-multi-view-clustering-via-ensembles-towards-scalability-superiority-and/)
- [Adapting to User Interest Drift for POI Recommendation](https://scholariq.org/papers/adapting-to-user-interest-drift-for-poi-recommendation/)
- [Robust Ensemble Clustering Using Probability Trajectories](https://scholariq.org/papers/robust-ensemble-clustering-using-probability-trajectories/)
- [Feature Selection by Maximizing Independent Classification Information](https://scholariq.org/papers/feature-selection-by-maximizing-independent-classification-information/)
- [Evaluating Variable-Length Markov Chain Models for Analysis of User Web Navigation Sessions](https://scholariq.org/papers/evaluating-variable-length-markov-chain-models-for-analysis-of-user-web/)
- [Rethinking Graph Auto-Encoder Models for Attributed Graph Clustering](https://scholariq.org/papers/rethinking-graph-auto-encoder-models-for-attributed-graph-clustering/)
- [A new complicated-knowledge representation approach based on knowledge meshes](https://scholariq.org/papers/a-new-complicated-knowledge-representation-approach-based-on-knowledge-meshes/)
- [Efficient Anomaly Detection for High-Dimensional Sensing Data With One-Class Support Vector Machine](https://scholariq.org/papers/efficient-anomaly-detection-for-high-dimensional-sensing-data-with-one-class/)
- [Jointly Learning Topics in Sentence Embedding for Document Summarization](https://scholariq.org/papers/jointly-learning-topics-in-sentence-embedding-for-document-summarization/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.