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    Author information
    First name: Mahashweta
    Last name: Das
    DBLP: 21/7445
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    Conference paper
    Azade Nazi, Mahashweta Das, Gautam Das.
    Web Item Reviewing Made Easy By Leveraging Available User Feedback.
    CoRR 2016, Volume 0 (0) 2016
    Conference paper
    Mahashweta Das, Alkis Simitsis, Kevin Wilkinson.
    A hybrid solution for mixed workloads on dynamic graphs.
    Proceedings of the Fourth International Workshop on Graph Data Management Experiences and Systems, Redwood Shores, CA, USA, June 24 - 24, 2016 2016 (0) 2016
    Conference paper
    Rajeshkumar Kannapalli, Azade Nazi, Mahashweta Das, Gautam Das.
    AD-WIRE: Add-on for Web Item Reviewing System.
    PVLDB 2015, Volume 9 (0) 2016
    Conference paper
    Azade Nazi, Mahashweta Das, Gautam Das.
    The TagAdvisor: Luring the Lurkers to Review Web Items.
    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
    Mahashweta Das, Gautam Das.
    Structured Analytics in Social Media.
    PVLDB 2014, Volume 8 (0) 2015
    Conference paper
    Mahashweta Das, Saravanan Thirumuruganathan, Sihem Amer-Yahia, Gautam Das, Cong Yu 0001.
    An expressive framework and efficient algorithms for the analysis of collaborative tagging.
    VLDB J. 2014, Volume 23 (0) 2014
    Journal article
    Mahashweta Das, Gautam Das, Vagelis Hristidis.
    Top-K Product Design Based on Collaborative Tagging Data
    CoRR 2013, Volume 0 (0) 2013
    Conference paper
    Mahashweta Das.
    Exploratory mining of collaborative social content.
    Proceedings of the 2013 SIGMOD/PODS Ph.D. Symposium, New York, NY, USA, June 23, 2013 2013 (0) 2013
    Conference paper
    Mahashweta Das, Gianmarco De Francisci Morales, Aristides Gionis, Ingmar Weber.
    Learning to question: leveraging user preferences for shopping advice.
    The 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2013, Chicago, IL, USA, August 11-14, 2013 2013 (0) 2013
    Conference paper
    Mahashweta Das, Habibur Rahman, Gautam Das, Vagelis Hristidis.
    Generating informative snippet to maximize item visibility.
    22nd ACM International Conference on Information and Knowledge Management, CIKM'13, San Francisco, CA, USA, October 27 - November 1, 2013 2013 (0) 2013
    Conference paper
    Mahashweta Das, Saravanan Thirumuruganathan, Sihem Amer-Yahia, Gautam Das, Cong Yu 0001.
    Who Tags What? An Analysis Framework.
    PVLDB 2011, Volume 5 (0) 2012
    Conference paper
    Saravanan Thirumuruganathan, Mahashweta Das, Shrikant Desai, Sihem Amer-Yahia, Gautam Das, Cong Yu 0001.
    MapRat: Meaningful Explanation, Interactive Exploration and Geo-Visualization of Collaborative Ratings.
    PVLDB 2011, Volume 5 (0) 2012
    Conference paper
    Mahashweta Das, Saravanan Thirumuruganathan, Sihem Amer-Yahia, Gautam Das, Cong Yu 0001.
    Who Tags What? An Analysis Framework
    CoRR 2012, Volume 0 (0) 2012
    Conference paper
    Mahashweta Das, Deepak P, Prasad Deshpande, Ramakrishnan Kannan.
    Fast Rule Mining Over Multi-Dimensional Windows.
    Proceedings of the Eleventh SIAM International Conference on Data Mining, SDM 2011, April 28-30, 2011, Mesa, Arizona, USA 2011 (0) 2011
    Conference paper
    Mahashweta Das, Gautam Das, Vagelis Hristidis.
    Leveraging collaborative tagging for web item design.
    Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Diego, CA, USA, August 21-24, 2011 2011 (0) 2011
    Conference paper
    Mahashweta Das, Sihem Amer-Yahia, Gautam Das, Cong Yu 0001.
    MRI: Meaningful Interpretations of Collaborative Ratings.
    PVLDB 2011, Volume 4 (0) 2011
    Conference paper
    Mahashweta Das, Srinivasan Parthasarathy.
    Anomaly detection and spatio-temporal analysis of global climate system.
    Proceedings of the Third International Workshop on Knowledge Discovery from Sensor Data, Paris, France, June 28, 2009 2009 (0) 2009
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    Your query returned 17 matches in the database.