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Towards High-Precision and Reusable Entity Resolution Algorithms over Sparse Financial Datasets.

, , и . DSMM@SIGMOD, стр. 18:1-18:4. ACM, (2016)

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Expressive Power of Entity-Linking Frameworks., , , , и . ICDT, том 68 из LIPIcs, стр. 10:1-10:18. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2017)MAFIA: A Maximal Frequent Itemset Algorithm for Transactional Databases., , и . ICDE, стр. 443-452. IEEE Computer Society, (2001)OLAP over uncertain and imprecise data., , , , и . VLDB J., 16 (1): 123-144 (2007)OLAP Over Uncertain and Imprecise Data., , , , и . VLDB, стр. 970-981. ACM, (2005)Financial Analytics from Public Data., , , , , , и . DSMM, стр. 4:1-4:6. ACM, (2014)resMBS: Constructing a Financial Supply Chain from Prospectus., , , , , и . DSMM@SIGMOD, стр. 7:1-7:6. ACM, (2016)DSMM'19: The 5th Workshop on Data Science for Macro-modeling with Financial and Economic Datasets., , и . SIGMOD Conference, стр. 2068-2069. ACM, (2019)Global Table Extractor (GTE): A Framework for Joint Table Identification and Cell Structure Recognition Using Visual Context., , , , и . WACV, стр. 697-706. IEEE, (2021)DI-2022: The Third Document Intelligence Workshop., , , , , и . KDD, стр. 4890-4891. ACM, (2022)MAFIA: A Performance Study of Mining Maximal Frequent Itemsets., , , , и . FIMI, том 90 из CEUR Workshop Proceedings, CEUR-WS.org, (2003)