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Acknowlegements


The Modas project is funded by the European
Research Council under the European
Community’s Seventh Framework Programme
(FP7) /  grant MoDaS, agreement n 291071.





Key data



2015



  • Query-Oriented Data Cleaning with Oracles, M. Bergman, T. Milo, S. Novgorodov, W. Tan. SIGMOD'15, June 2015


  • QOCO: Query-Oriented Data Cleaning System with Oracles (demo), M. Bergman, T. Milo, S. Novgorodov, W. Tan. VLDB'15, September 2015


  • A Natural Language Interface for Querying General and Individual Knowledge, Y. Amsterdamer, A. Kukliansky, T. Milo. VLDB'15, September 2015


  • NL2CM: A Natural Language Interface for Crowd Mining, Y. Amsterdamer, A. Kukliansky, T. Milo. SIGMOD'15, June 2015


  • Skyline Queries with Noisy Comparisons, B. Groz , T. Milo. PODS'15, June 2015


  • Data-driven Crowdsourcing: Management, Mining, and Applications (Tutorial), L. Ched, D. Lee, T. Milo. ICDE'15, April 2015


  • Managing General and Individual Knowledge in Crowd Mining Applications, Y. Amsterdamer, S. Davidson, T. Milo, A. Kukliansky, S. Novgorodov, and A. Somech. To appear in CIDR'15, January 2015


  • Dismantling Complicated Query Attributes with Crowd, M. Laadan, T. Milo. To appear in EDBT'15, March 2015



  • 2014



  • Ontology Assisted Crowd Mining (demo), Y. Amsterdamer, S. Davidson, T. Milo, S. Novgorodov, and A. Somech. VLDB'14, Sept. 2014


  • OASSIS: Query Driven Crowd Mining, Y. Amsterdamer, S. Davidson, T. Milo, S. Novgorodov, and A. Somech. SIGMOD'14, June 2014


  • A Sample-and-Clean Framework for Fast and Accurate Query Processing on Dirty Data, J. Wang, S. Krishnan, M. J. Franklin, K. Goldberg, T. Milo and T. Kraska. SIGMOD'14, June 2014


  • Approximated Provenance for Complex Applications, E. Ainy, S. Davdson, D. Deutch and T. Milo. TaPP'14, June 2014


  • Uncertainty in Crowd Data Sourcing under Structural Constraints, A. Amarilli, Y. Amsterdamer, T. Milo. UnCrowd 2014, April 2014


  • On the Complexity of Mining Itemsets from the Crowd Using Taxonomies, A. Amarilli, Y. Amsterdamer, T. Milo. ICDT'14, March 2014


  • 2013



  • Answering Planning Queries with the Crowd, H. Kaplan, I. Lotosh, T. Milo, S. Novgorodov. VLDB'13, August 2013


  • CrowdMiner: Mining association rules from the crowd (demo), Y. Amsterdamer, Y. Grossman, T. Milo, P.Senellart. VLDB'13, August 2013


  • Crowd Mining, Y. Amsterdamer, Y. Grossman, T. Milo, P.Senellart. SIGMOD'13, April 2013


  • CrowdPlanr: Planning Made Easy with Crowd (demo)_, I. Lotosh, T. Milo, S. Novgorodov. ICDE'13, April 2013


  • Using the crowd for top-k and group-by queries, S. Davidson, S. Khanna, T. Milo, S. Roy. ICDT'13, March 2013


  • In the Mood4: recommendation by examples (demo), R. Boim, T. Milo. EDBT'13, March 2013


  • Understanding Local Structure in Ranked Datasets, J. Stoyanovich, S. Amer-Yahia, S. Davidson, M. Jacob, T. Milo. CIDR'13, January 2013



  • 2012



  • Mob Data Sourcing, D. Deutch, T. Milo. SIGMOD'12, May 2012
    (Tutorial)


  • Auto-completion learning for XML(demo), S. Abiteboul, Y. Amsterdamer, T. Milo, P. Senellart. SIGMOD'12, May 2012


  • Asking the Right Questions in Crowd Data Sourcing (demo), R. Boim, O. Greenshpan, T. Milo, S. Novgorodov, N. Polyzotis, W. C. Tan. ICDE'12, April 2012


  • Declarative Platform for Data Sourcing Games, D. Deutch, O. Greenshpan, B. Kostenko, T. Milo. WWW'12, April 2012


  • Finding Optimal Probabilistic Generators for XML Collections, S. Abiteboul, Y. Amsterdamer, D. Deutch, T. Milo, P. Senellart. ICDT'12, March 2012










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