3 papers
cs.LG2025
SHAP Distance: An Explainability-Aware Metric for Evaluating the Semantic Fidelity of Synthetic Tabular Data
Ke Yu, Shigeru Ishikura, Yukari Usukura +2
Synthetic tabular data, which are widely used in domains such as healthcare, enterprise operations, and customer analytics, are increasingly evaluated to ensure that they preserve…
cs.DB2025
Contextual Graph Embeddings: Accounting for Data Characteristics in Heterogeneous Data Integration
Yuka Haruki, Shigeru Ishikura, Kazuya Demachi +1
As organizations continue to access diverse datasets, the demand for effective data integration has increased. Key tasks in this process, such as schema matching and entity resolut…
cs.HC2025
Development of Automated Data Quality Assessment and Evaluation Indices by Analytical Experience
Yuka Haruki, Kei Kato, Yuki Enami +4
The societal need to leverage third-party data has driven the data-distribution market and increased the importance of data quality assessment (DQA) in data transactions between or…