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Data Dependencies Extended for Variety and Veracity: A Family Tree

, , , and . IEEE Transactions on Knowledge and Data Engineering, 34 (10): 4717-4736 (October 2022)
DOI: 10.1109/TKDE.2020.3046443

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Editorial: Special Issue on Metadata Discovery for Assessing Data Quality., , and . ACM J. Data Inf. Qual., 12 (4): 17:1-17:2 (2020)Matching Heterogeneous Event Data., , , , , and . IEEE Trans. Knowl. Data Eng., 30 (11): 2157-2170 (2018)TsQuality: Measuring Time Series Data Quality in Apache IoTDB., , , , , and . Proc. VLDB Endow., 16 (12): 3982-3985 (2023)Effective and Efficient Retrieval of Structured Entities., , , , , and . Proc. VLDB Endow., 13 (6): 826-839 (2020)Data Dependencies Extended for Variety and Veracity: A Family Tree (Extended abstract)., , , and . ICDE, page 3819-3820. IEEE, (2023)On Saving Outliers for Better Clustering over Noisy Data., , , and . SIGMOD Conference, page 1692-1704. ACM, (2021)Efficiently Cleaning Structured Event Logs: A Graph Repair Approach., , , , , and . ACM Trans. Database Syst., 48 (1): 3:1-3:44 (March 2023)SCREEN: Stream Data Cleaning under Speed Constraints., , , and . SIGMOD Conference, page 827-841. ACM, (2015)On Concise Set of Relative Candidate Keys., , and . Proc. VLDB Endow., 7 (12): 1179-1190 (2014)Time Series Data Encoding for Efficient Storage: A Comparative Analysis in Apache IoTDB., , , , , and . Proc. VLDB Endow., 15 (10): 2148-2160 (2022)