Yael Amsterdamer
Yael Amsterdamer
Senior lecturer, the Department of Computer Science, Bar Ilan University
Geverifieerd e-mailadres voor biu.ac.il - Homepage
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Putting Lipstick on Pig: Enabling Database-style Workflow Provenance
Y Amsterdamer, SB Davidson, D Deutch, T Milo, J Stoyanovich, V Tannen
Proceedings of the VLDB Endowment 5 (4), 346-357, 2011
1552011
Provenance for aggregate queries
Y Amsterdamer, D Deutch, V Tannen
Proceedings of the thirtieth ACM SIGMOD-SIGACT-SIGART symposium on …, 2011
1382011
Crowd mining
Y Amsterdamer, Y Grossman, T Milo, P Senellart
Proceedings of the 2013 ACM SIGMOD International Conference on Management of …, 2013
962013
On the Limitations of Provenance for Queries with Difference.
Y Amsterdamer, D Deutch, V Tannen
TaPP, 2011
432011
OASSIS: query driven crowd mining
Y Amsterdamer, SB Davidson, T Milo, S Novgorodov, A Somech
Proceedings of the 2014 ACM SIGMOD international conference on Management of …, 2014
362014
On provenance minimization
Y Amsterdamer, D Deutch, T Milo, V Tannen
ACM Transactions on Database Systems (TODS) 37 (4), 1-36, 2012
352012
On provenance minimization
Y Amsterdamer, D Deutch, T Milo, V Tannen
The 2011 ACM SIGMOD/PODS Conference, 12, 2011
352011
CrowdMiner: Mining association rules from the crowd
Y Amsterdamer, Y Grossman, T Milo, P Senellart
Proceedings of the VLDB Endowment 6 (12), 1250-1253, 2013
292013
On the Complexity of Mining Itemsets from the Crowd Using Taxonomies
A Amarilli, Y Amsterdamer, T Milo
ICDT, 15-25, 2014
252014
A Natural Language Interface for Querying General and Individual Knowledge
Y Amsterdamer, A Kukliansky, T Milo
Proceedings of the VLDB Endowment 8 (12), 1430-1441, 2015
202015
Uncertainty in crowd data sourcing under structural constraints
A Amarilli, Y Amsterdamer, T Milo
International Conference on Database Systems for Advanced Applications, 351-359, 2014
192014
Foundations of Crowd Data Sourcing
Y Amsterdamer, T Milo
ACM SIGMOD Record 43 (4), 5-14, 2014
182014
Managing General and Individual Knowledge in Crowd Mining Applications.
Y Amsterdamer, SB Davidson, A Kukliansky, T Milo, S Novgorodov, ...
CIDR, 2015
142015
NL2CM: A Natural Language Interface to Crowd Mining
Y Amsterdamer, A Kukliansky, T Milo
Proceedings of the 2015 ACM SIGMOD International Conference on Management of …, 2015
122015
Auto-completion learning for XML
S Abiteboul, Y Amsterdamer, T Milo, P Senellart
Proceedings of the 2012 ACM SIGMOD International Conference on Management of …, 2012
102012
Finding optimal probabilistic generators for XML collections
S Abiteboul, Y Amsterdamer, D Deutch, T Milo, P Senellart
Proceedings of the 15th International Conference on Database Theory, 127-139, 2012
102012
Toward semantic image similarity from crowdsourced clustering
Y Kleiman, G Goldberg, Y Amsterdamer, D Cohen-Or
The Visual Computer 32 (6-8), 1045-1055, 2016
92016
Interactive Abstractive Summarization for Event News Tweets
O Shapira, H Ronen, M Adler, Y Amsterdamer, J Bar-Ilan, I Dagan
Proceedings of the 2017 Conference on Empirical Methods in Natural Language …, 2017
62017
Crowdsourcing Lightweight Pyramids for Manual Summary Evaluation
O Shapira, D Gabay, Y Gao, H Ronen, R Pasunuru, M Bansal, ...
arXiv preprint arXiv:1904.05929, 2019
52019
Ontology assisted crowd mining
Y Amsterdamer, SB Davidson, T Milo, S Novgorodov, A Somech
Proceedings of the VLDB Endowment 7 (13), 1597-1600, 2014
52014
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Artikelen 1–20