Uncertainty in Crowd Data Sourcing Under Structural Constraints-Reference-Cited by-同舟云学术

Uncertainty in Crowd Data Sourcing Under Structural Constraints

Published:2014 Issue: Volume: Page:351-359
ISSN:0302-9743
Container-title:Database Systems for Advanced Applications
language:
Short-container-title:

Author:

Amarilli Antoine,Amsterdamer Yael,Milo Tova

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-662-43984-5_27

Reference12 articles.

1. Amarilli, A., Amsterdamer, Y., Milo, T.: On the complexity of mining itemsets from the crowd using taxonomies. In: Proceedings of ICDT (to appear), Athens (2014)

2. Amsterdamer, Y., Grossman, Y., Milo, T., Senellart, P.: Crowd mining. In: Proceedings of SIGMOD, New York, USA, pp. 241–252 (2013)

3. David, H.A., Nagaraja, H.N.: Order Statistics, Chapter 2, p. 14. Wiley, New York (2013)

4. Karp, R.M., Kleinberg, R.: Noisy binary search and its applications. In: Proceedings of 18th ACM-SIAM Symposium on Discrete Algorithms (2007)

5. Kozlov, M.K., Tarasov, S.P., Khachiyan, L.G.: The polynomial solvability of convex quadratic programming. USSR Comp. Math. Math. Phys. 20(5), 223–228 (1980)

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Crowd analytics: literature and technological assessment;Multimedia Tools and Applications;2022-02-28

2. Dissociation and propagation for approximate lifted inference with standard relational database management systems;The VLDB Journal;2016-07-16

3. Crowdsourcing for Top-K Query Processing over Uncertain Data;IEEE Transactions on Knowledge and Data Engineering;2016-01-01

4. Top-k Queries Over Uncertain Scores;On the Move to Meaningful Internet Systems: OTM 2016 Conferences;2016

5. Intensional data on the web;ACM SIGWEB Newsletter;2015-08-17