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CDB: Optimizing Queries with Crowd-Based Selections and Joins.

, , , , , , , , , и . SIGMOD Conference, стр. 1463-1478. ACM, (2017)

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Influential User Subscription on Time-Decaying Social Streams., и . CoRR, (2018)Crowd-Type: A Crowdsourcing-Based Tool for Type Completion in Knowledge Bases., , , , , и . ER Workshops, том 11158 из Lecture Notes in Computer Science, стр. 17-21. Springer, (2018)CDB: Optimizing Queries with Crowd-Based Selections and Joins., , , , , , , , , и . SIGMOD Conference, стр. 1463-1478. ACM, (2017)Front Matter., , , , , , , , , и 8 other автор(ы). Proc. VLDB Endow., (2023)SEED: Simple, Efficient, and Effective Data Management via Large Language Models., , , , , , , , , и . CoRR, (2023)Semantics Driven Embedding Learning for Effective Entity Alignment., , , и . ICDE, стр. 2127-2140. IEEE, (2022)A hybrid machine-crowdsourcing system for matching web tables., , , , и . ICDE, стр. 976-987. IEEE Computer Society, (2014)A Two-Phase Approach for Recognizing Tables with Complex Structures., , , , , и . DASFAA (1), том 13245 из Lecture Notes in Computer Science, стр. 587-595. Springer, (2022)BiANE: Bipartite Attributed Network Embedding., , , , и . SIGIR, стр. 149-158. ACM, (2020)Suggesting Topic-Based Query Terms as You Type., , , и . APWeb, стр. 61-67. IEEE Computer Society, (2010)