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    Author information
    First name: Luis
    Last name: Gravano
    DBLP: g/LuisGravano
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    Below you find the publications which have been written by this author.

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    Conference paper
    Pablo Barrio 0002, Luis Gravano.
    Sampling strategies for information extraction over the deep web.
    Inf. Process. Manage. 2017, Volume 53 (0) 2017
    Conference paper
    John Paparrizos, Luis Gravano.
    Fast and Accurate Time-Series Clustering.
    ACM Trans. Database Syst. 2017, Volume 42 (0) 2017
    Journal article
    John Paparrizos, Luis Gravano.
    k-Shape: Efficient and Accurate Clustering of Time Series.
    SIGMOD Record 2016, Volume 45 (0) 2016
    Conference paper
    Kathy McKeown, Hal Daumé III, Snigdha Chaturvedi, John Paparrizos, Kapil Thadani, Pablo Barrio 0002, Or Biran, Suvarna Bothe, Michael Collins, Kenneth R. Fleischmann, Luis Gravano, Rahul Jha, Ben King, Kevin McInerney, Taesun Moon, Arvind Neelakantan, Diarmuid Ó Séaghdha, Dragomir R. Radev, Thomas Clay Templeton, Simone Teufel.
    Predicting the impact of scientific concepts using full-text features.
    JASIST 2016, Volume 67 (0) 2016
    Conference paper
    Pablo Barrio 0002, Gonçalo Simões, Helena Galhardas, Luis Gravano.
    Learning to Rank Adaptively for Scalable Information Extraction.
    Proceedings of the 18th International Conference on Extending Database Technology, EDBT 2015, Brussels, Belgium, March 23-27, 2015. 2015 (0) 2015
    Conference paper
    John Paparrizos, Luis Gravano.
    k-Shape: Efficient and Accurate Clustering of Time Series.
    Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31 - June 4, 2015 2015 (0) 2015
    Conference paper
    Pablo Barrio 0002, Luis Gravano, Chris Develder.
    Ranking Deep Web Text Collections for Scalable Information Extraction.
    Proceedings of the 24th ACM International Conference on Information and Knowledge Management, CIKM 2015, Melbourne, VIC, Australia, October 19 - 23, 2015 2015 (0) 2015
    Conference paper
    Pablo Barrio 0002, Gonçalo Simões, Helena Galhardas, Luis Gravano.
    REEL: A Relation Extraction Learning framework.
    IEEE/ACM Joint Conference on Digital Libraries, JCDL 2014, London, United Kingdom, September 8-12, 2014 2014 (0) 2014
    Conference paper
    Fotis Psallidas, Hila Becker, Mor Naaman, Luis Gravano.
    Effective Event Identification in Social Media.
    IEEE Data Eng. Bull. 2013, Volume 36 (0) 2013
    Conference paper
    Gonçalo Simões, Helena Galhardas, Luis Gravano.
    When Speed Has a Price: Fast Information Extraction Using Approximate Algorithms.
    PVLDB 2012, Volume 6 (0) 2013
    Show item 1 to 10 of 104  

    Your query returned 104 matches in the database.