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Comparative analysis of approximate blocking techniques for entity resolution

, , , and . Proc. VLDB Endow., 9 (9): 684–695 (May 2016)
DOI: 10.14778/2947618.2947624

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SEAnet: A Deep Learning Architecture for Data Series Similarity Search., and . IEEE Trans. Knowl. Data Eng., 35 (12): 12972-12986 (December 2023)Meta-Blocking: Taking Entity Resolutionto the Next Level, , , and . IEEE Trans. Knowl. Data Eng., 26 (8): 1946--1960 (2014)A Blocking Framework for Entity Resolution in Highly Heterogeneous Information Spaces., , , , and . IEEE Trans. Knowl. Data Eng., 25 (12): 2665-2682 (2013)Knowledge Mining for the Business Analyst., and . DEXA, volume 5181 of Lecture Notes in Computer Science, page 770-778. Springer, (2008)dCAM: Dimension-wise Class Activation Map for Explaining Multivariate Data Series Classification., , , and . SIGMOD Conference, page 1175-1189. ACM, (2022)Parallel meta-blocking: Realizing scalable entity resolution over large, heterogeneous data., , , , and . IEEE BigData, page 411-420. IEEE Computer Society, (2015)ParIS: The Next Destination for Fast Data Series Indexing and Query Answering., , and . IEEE BigData, page 791-800. IEEE, (2018)Where has this tweet come from? Fast and fine-grained geolocalization of non-geotagged tweets., and . Soc. Netw. Anal. Min., 6 (1): 89:1-89:16 (2016)Towards a General Entity Representation Model., , and . IRI, page 431-432. IEEE Systems, Man, and Cybernetics Society, (2009)Online Distribution Estimation for Streaming Data: Framework and Applications., , and . SEBD, page 430-438. (2007)