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    Author information
    First name: Bing Tian
    Last name: Dai
    DBLP: 13/5012
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    Below you find the publications which have been written by this author.

    Show item 1 to 16 of 16  
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    Conference paper
    Bing Tian Dai, Kasthuri Jayarajah, Ee-Peng Lim, Archan Misra, Shriguru Nayak.
    A study on Singapore haze.
    Proceedings of the 17th International Conference on Distributed Computing and Networking, Singapore, January 4-7, 2016 2016 (0) 2016
    Conference paper
    Wen-Haw Chong, Bing Tian Dai, Ee-Peng Lim.
    Prediction of Venues in Foursquare Using Flipped Topic Models.
    Advances in Information Retrieval - 37th European Conference on IR Research, ECIR 2015, Vienna, Austria, March 29 - April 2, 2015. Proceedings 2015 (0) 2015
    Conference paper
    Wen-Haw Chong, Bing Tian Dai, Ee-Peng Lim.
    Did You Expect Your Users to Say This?: Distilling Unexpected Micro-reviews for Venue Owners.
    Proceedings of the 26th ACM Conference on Hypertext Social Media, HT 2015, Guzelyurt, TRNC, Cyprus, September 1-4, 2015 2015 (0) 2015
    Conference paper
    Wen-Haw Chong, Bing Tian Dai, Ee-Peng Lim.
    Not All Trips are Equal: Analyzing Foursquare Check-ins of Trips and City Visitors.
    Proceedings of the 2015 ACM on Conference on Online Social Networks, COSN 2015, Palo Alto, California, USA, November 2-3, 2015 2015 (0) 2015
    Conference paper
    Bing Tian Dai, Agus Trisnajaya Kwee, Ee-Peng Lim.
    ViStruclizer: A Structural Visualizer for Multi-dimensional Social Networks.
    Advances in Knowledge Discovery and Data Mining, 17th Pacific-Asia Conference, PAKDD 2013, Gold Coast, Australia, April 14-17, 2013, Proceedings, Part II 2013 (0) 2013
    Conference paper
    Y. C. Tay, Bing Tian Dai, Daniel T. Wang, Eldora Y. Sun, Yong Lin, Yuting Lin.
    UpSizeR: Synthetically scaling an empirical relational database.
    Inf. Syst. 2013, Volume 38 (0) 2013
    Conference paper
    Bing Tian Dai, Hady Wirawan Lauw.
    Modeling Preferences with Availability Constraints.
    2013 IEEE 13th International Conference on Data Mining, Dallas, TX, USA, December 7-10, 2013 2013 (0) 2013
    Conference paper
    Bing Tian Dai, Freddy Chong Tat Chua, Ee-Peng Lim.
    Structural Analysis in Multi-Relational Social Networks.
    Proceedings of the Twelfth SIAM International Conference on Data Mining, Anaheim, California, USA, April 26-28, 2012. 2012 (0) 2012
    Conference paper
    Shuang Xia, Bing Tian Dai, Ee-Peng Lim, Yong Zhang, Chunxiao Xing.
    Link Prediction for Bipartite Social Networks: The Role of Structural Holes.
    International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2012, Istanbul, Turkey, 26-29 August 2012 2012 (0) 2012
    Conference paper
    Meiyu Lu, Divyakant Agrawal, Bing Tian Dai, Anthony K. H. Tung.
    Schema-as-you-go: on probabilistic tagging and querying of wide tables.
    Proceedings of the ACM SIGMOD International Conference on Management of Data, SIGMOD 2011, Athens, Greece, June 12-16, 2011 2011 (0) 2011
    Conference paper
    Rui Zhang, H. V. Jagadish, Bing Tian Dai, Kotagiri Ramamohanarao.
    Optimized algorithms for predictive range and KNN queries on moving objects.
    Inf. Syst. 2010, Volume 35 (0) 2010
    Conference paper
    Bing Tian Dai, Nick Koudas, Divesh Srivastava, Anthony K. H. Tung, Suresh Venkatasubramanian.
    Validating Multi-column Schema Matchings by Type.
    Proceedings of the 24th International Conference on Data Engineering, ICDE 2008, April 7-12, 2008, Cancún, México 2008 (0) 2008
    Conference paper
    Zhenjie Zhang, Bing Tian Dai, Anthony K. H. Tung.
    Estimating local optimums in EM algorithm over Gaussian mixture model.
    Machine Learning, Proceedings of the Twenty-Fifth International Conference (ICML 2008), Helsinki, Finland, June 5-9, 2008 2008 (0) 2008
    Conference paper
    Bing Tian Dai, Nick Koudas, Beng Chin Ooi, Divesh Srivastava, Suresh Venkatasubramanian.
    Column Heterogeneity as a Measure of Data Quality.
    Proceedings of the First Int'l VLDB Workshop on Clean Databases, CleanDB 2006, September 11, 2006, Seoul, Korea (Co-located with VLDB 2006) 2006 (0) 2006
    Conference paper
    Bing Tian Dai, Nick Koudas, Beng Chin Ooi, Divesh Srivastava, Suresh Venkatasubramanian.
    Rapid Identification of Column Heterogeneity.
    Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 18-22 December 2006, Hong Kong, China 2006 (0) 2006
    Conference paper
    Zhenjie Zhang, Bing Tian Dai, Anthony K. H. Tung.
    On the Lower Bound of Local Optimums in K-Means Algorithm.
    Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 18-22 December 2006, Hong Kong, China 2006 (0) 2006
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