ACM Transactions on Knowledge Discovery from Data

Aims & Scope✦ Inferred from recent articles

The journal publishes research on machine learning techniques for prediction and recommendation tasks, including spatio-temporal prediction, click-through rate prediction, session-based recommendation, multi-label classification, federated learning, and legal judgment prediction. Several articles focus on improving model performance and efficiency through novel architectures, feature engineering, and the integration of knowledge graphs or large language models.

AI-summarised from recent articles · verify on publisher page →

Based on the Think.Check.Submit framework by DOAJ, COPE & OASPA. All data from verified open sources.

Source: OpenAlex · Note: citations accumulate over time so older years appear higher

SJR Quartile by Discipline

Scimago ranks this journal separately in each subject category — its quartile can differ by discipline.

Subject Classification