Dr. Yael Amsterdamer
Publications
PODIUM: Procuring Opinions from Diverse Users in a Multi-Dimensional World
Yael Amsterdamer and Oded Goldreich.
CIKM 2017. | PDF | BIB |
Interactive Abstractive Summarization for Event News Tweets
Ori Shapira, Hadar Ronen, Meni Adler, Yael Amsterdamer, Judit Bar-Ilan and Ido Dagan.
EMNLP 2017. | PDF | BIB |
Crowd Mining and Analysis
Yael Amsterdamer and Tova Milo.
Encyclopedia of Database Systems, L Liu, MT Özsu (eds.), Springer New York, NY, 2017. | PDF | BIB |
Top-k Queries on Unknown Values under Order Constraints
Antoine Amarilli, Yael Amsterdamer, Tova Milo and Pierre Senellart.
ICDT 2017. | PDF (extended version) | BIB |
December: A Declarative Tool for Crowd Member Selection
Yael Amsterdamer, Tova Milo, Amit Somech and Brit Youngman
PVLDB 9(13): 1485-1488, 2016. | PDF | BIB
Toward Semantic Image Similarity from Crowdsourced Clustering
Yanir Kleiman, George Goldberg, Yael Amsterdamer and Daniel Cohen-Or
The Visual Computer 32(6-8): 1045-1055, 2016. | PDF | BIB
A Natural Language Interface for Querying General and Individual Knowledge
Yael Amsterdamer, Anna Kukliansky and Tova Milo
PVLDB 8(12): 1430-1441, 2015. | PDF (full version) | BIB
Optimal Probabilistic Generation of XML Documents
Serge Abiteboul, Yael Amsterdamer, Daniel Deutch, Tova Milo and Pierre Senellart
TOCS 57(4): 806-842, 2014. | PDF | BIB
NL2CM: A Natural Language Interface to Crowd Mining (demo)
Yael Amsterdamer, Anna Kukliansky and Tova Milo
SIGMOD 2015. | PDF | BIB
Managing General and Individual Knowledge in Crowd Mining Applications
Yael Amsterdamer, Susan B. Davidson, Anna Kukliansky, Tova Milo, Slava Novgorodov, and Amit Somech
CIDR 2015. | PDF | Slides | BIB
Foundations of Crowd Data Sourcing
Yael Amsterdamer and Tova Milo
SIGMOD Record 43(4), 2014. | PDF | BIB
OASSIS: Query Driven Crowd Mining
Yael Amsterdamer, Susan B. Davidson, Tova Milo, Slava Novgorodov and Amit Somech
SIGMOD 2014. | PDF | BIB
Ontology Assisted Crowd Mining (demo)
Yael Amsterdamer, Susan B. Davidson, Tova Milo, Slava Novgorodov and Amit Somech
PVLDB 7(13): 1597-1600, 2014. | PDF | BIB
On the Complexity of Mining Itemsets from the Crowd Using Taxonomies
Antoine Amarilli, Yael Amsterdamer and Tova Milo
ICDT 2014. | PDF | BIB
Uncertainty in Crowd Data Sourcing Under Structural Constraints
Antoine Amarilli, Yael Amsterdamer and Tova Milo
UnCrowd 2014. | PDF | BIB
CrowdMiner: Mining association rules from the crowd (demo)
Yael Amsterdamer, Yael Grossman, Tova Milo and Pierre Senellart
PVLDB 6(12):1250-1253, 2013. | PDF | BIB
Crowd Mining
Yael Amsterdamer, Yael Grossman, Tova Milo and Pierre Senellart
SIGMOD 2013. | PDF | BIB
Auto-Completion Learning for XML (demo)
Serge Abiteboul, Yael Amsterdamer, Tova Milo and Pierre Senellart
SIGMOD 2012. | PDF | BIB | poster
On Provenance Minimization
Yael Amsterdamer, Daniel Deutch, Tova Milo and Val Tannen
ACM Trans. Database Syst. 37(4):30, 2012. | PDF | BIB
Finding Optimal Probabilistic Generators for XML Collections
Serge Abiteboul, Yael Amsterdamer, Daniel Deutch, Tova Milo and Pierre Senellart
ICDT 2012. | PDF | BIB
Putting Lipstick on Pig: Enabling Database-style Workflow Provenance
Yael Amsterdamer, Susan B. Davidson, Daniel Deutch, Tova Milo, Julia Stoyanovich and Val Tannen
PVLDB 5(4):346-357, 2011. | PDF | BIB
On Provenance Minimization
Yael Amsterdamer, Daniel Deutch, Tova Milo and Val Tannen
PODS 2011. | PDF | BIB
Provenance for Aggregate Queries
Yael Amsterdamer, Daniel Deutch and Val Tannen
PODS 2011. | PDF | BIB
On the Optimality of Top-k Algorithms for Interactive Web Applications
Yael Amsterdamer, Daniel Deutch and Tova Milo
WebDB 2011. | PDF | BIB
On the Limitations of Provenance for Queries With Difference
Yael Amsterdamer, Daniel Deutch and Val Tannen
TaPP 2011. | PDF | Slides | BIB
Courses
Research
Databases, Management of web data and online knowledge bases, big data, crowdsourced data management.
- Last modified: 29/10/2018
