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Crowd Database Operators

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  1. Franklin MJ, Kossmann D, Kraska T, Ramesh S, Xin R. CrowdDB: answering queries with crowdsourcing. In: Proceedings of the ACM SIGMOD International Conference on Management of Data; 2011.

    Google Scholar 

  2. Marcus A, Wu E, Madden S, Miller R. Crowdsourced databases: query processing with people. In: Proceedings of the 5th Biennial Conference on Innovative Data Systems Research; 2011.

    Google Scholar 

  3. Parameswaran AG, Park H, Garcia-Molina H, Polyzotis N, Widom J. Deco: declarative crowdsourcing. In: Proceedings of the 21st ACM International Conference on Information and Knowledge Management; 2012.

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  4. Parameswaran AG, Garcia-Molina H, Park H, Polyzotis N, Ramesh A, Widom J. Crowdscreen: algorithms for filtering data with humans. In: Proceedings of the ACM SIGMOD International Conference on Management of Data; 2012.

    Google Scholar 

  5. Parameswaran A, Boyd S, Garcia-Molina H, Gupta A, Polyzotis N, Widom J. Optimal crowd-powered rating and filtering algorithms. Proc VLDB Endowment. 2014;7(9):685–696.

    Article  Google Scholar 

  6. Das Sarma A, Parameswaran A, Garcia-Molina H, Halevy A. Crowd-powered find algorithms. In: Proceeings of the IEEE International Conference on Data Engineering.

    Google Scholar 

  7. Marcus A, Wu E, Karger D, Madden S, Miller R. Human-powered sorts and joins. Proc VLDB Endowment 2011;5(1):13–24.

    Article  Google Scholar 

  8. Polychronopoulos V, de Alfaro L, Davis J, Garcia-Molina H, Polyzotis N. Human – powered top-k lists. In: Proceedings of the 11th International Workshop on the World Wide Web and Databases; 2013.

    Google Scholar 

  9. Davidson SB, Khanna S, Milo T, Roy S. Using the crowd for top-k and group-by queries. In: Proceedings of the 15th International Conference on Database Theory; 2013.

    Google Scholar 

  10. Guo S, Parameswaran A, Garcia-Molina H. So who won? Dynamic max discovery with the crowd. In: Proceedings of the ACM SIGMOD International Conference on Management of Data; 2012.

    Google Scholar 

  11. Venetis P, Garcia-Molina H, Huang K, Polyzotis N. Max algorithms in crowdsourcing environments. In: Proceedings of the 21st international conference on World Wide Web; 2012.

    Google Scholar 

  12. Gomes R, Welinder P, Krause A, Perona P. Crowdclustering. In: Advances in Neural Information Proceedings of the Systems 24, Proceedings of the 25th Annual Conference on Neural Information Proceedings of the Systems; 2011.

    Google Scholar 

  13. Ipeirotis PG, Provost F, Wang J. Quality management on Amazon mechanical turk. In: Proceedings of the ACM SIGKDD Workshop on Human Computation, 2010.

    Google Scholar 

  14. Trushkowsky B, Kraska T, Franklin MJ, Sarkar Purnamrita. Crowdsourced enumeration queries. In: Proceedings of the 29th International Conference on Data Engineering; 2013.

    Google Scholar 

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Correspondence to Beth Trushkowsky .

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Trushkowsky, B. (2018). Crowd Database Operators. In: Liu, L., Özsu, M.T. (eds) Encyclopedia of Database Systems. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-8265-9_80660

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