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    Author information
    First name: Haixun
    Last name: Wang
    DBLP: w/HaixunWang
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    Conference paper
    Gabriel Pui Cheong Fung, Jeffrey Xu Yu, Haixun Wang, David Wai-Lok Cheung, Huan Liu.
    A Balanced Ensemble Approach to Weighting Classifiers for Text Classification.
    Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 18-22 December 2006, Hong Kong, China 2006 (0) 2006
    Conference paper
    Wei-Shinn Ku, Haiquan Chen, Haixun Wang, Min-Te Sun.
    A Bayesian Inference-Based Framework for RFID Data Cleansing.
    IEEE Trans. Knowl. Data Eng. 2013, Volume 25 (0) 2013
    Conference paper
    Wei-Ying Ma, Tie-Yan Liu, Ji-Rong Wen, Zheng Chen, Zaiqing Nie, Xing Xie, Hang Li, Haixun Wang, Yu Zheng.
    A conversation with MSRA researchers.
    SIGKDD Explorations 2011, Volume 13 (0) 2011
    Conference paper
    Yijian Bai, Hetal Thakkar, Haixun Wang, Chang Luo, Carlo Zaniolo.
    A data stream language and system designed for power and extensibility.
    Proceedings of the 2006 ACM CIKM International Conference on Information and Knowledge Management, Arlington, Virginia, USA, November 6-11, 2006 2006 (0) 2006
    Conference paper
    Kai Zeng, Jiacheng Yang, Haixun Wang, Bin Shao, Zhongyuan Wang.
    A Distributed Graph Engine for Web Scale RDF Data.
    PVLDB 2012, Volume 6 (0) 2013
    Conference paper
    Haixun Wang, Fang Chu, Wei Fan, Philip S. Yu, Jian Pei.
    A Fast Algorithm for Subspace Clustering by Pattern Similarity.
    Proceedings of the 16th International Conference on Scientific and Statistical Database Management (SSDBM 2004), 21-23 June 2004, Santorini Island, Greece 2004 (0) 2004
    Conference paper
    Yijian Bai, Hetal Thakkar, Haixun Wang, Carlo Zaniolo.
    A Flexible Query Graph Based Model for the Efficient Execution of Continuous Queries.
    Proceedings of the 23rd International Conference on Data Engineering Workshops, ICDE 2007, 15-20 April 2007, Istanbul, Turkey 2007 (0) 2007
    Conference paper
    Wei Fan, Haixun Wang, Philip S. Yu, Salvatore J. Stolfo.
    A Framework for Scalable Cost-sensitive Learning Based on Combing Probabilities and Benefits.
    Proceedings of the Second SIAM International Conference on Data Mining, Arlington, VA, USA, April 11-13, 2002 2002 (0) 2002
    Conference paper
    Wei Fan, Haixun Wang, Philip S. Yu, Salvatore J. Stolfo.
    A Fully Distributed Framework for Cost-Sensitive Data Mining.
    ICDCS 2002 (0) 2002
    Conference paper
    Zhitao Shen, Muhammad Aamir Cheema, Xuemin Lin, Wenjie Zhang, Haixun Wang.
    A Generic Framework for Top-${\schmi k}$ Pairs and Top- ${\schmi k}$ Objects Queries over Sliding Windows.
    IEEE Trans. Knowl. Data Eng. 2014, Volume 26 (0) 2014
    Conference paper
    Pei-Pei Li, Haixun Wang, Kenny Q. Zhu, Zhongyuan Wang, Xuegang Hu, Xindong Wu.
    A Large Probabilistic Semantic Network Based Approach to Compute Term Similarity.
    IEEE Trans. Knowl. Data Eng. 2015, Volume 27 (0) 2015
    Conference paper
    Peng Wang, Haixun Wang, Xiaochen Wu, Wei Wang 0009, Baile Shi.
    A Low-Granularity Classifier for Data Streams with Concept Drifts and Biased Class Distribution.
    IEEE Trans. Knowl. Data Eng. 2007, Volume 19 (0) 2007
    Conference paper
    Chang Luo, Hetal Thakkar, Haixun Wang, Carlo Zaniolo.
    A native extension of SQL for mining data streams.
    Proceedings of the ACM SIGMOD International Conference on Management of Data, Baltimore, Maryland, USA, June 14-16, 2005 2005 (0) 2005
    Journal article
    Wei-Shinn Ku, Ling Hu, Cyrus Shahabi, Haixun Wang.
    A query integrity assurance scheme for accessing outsourced spatial databases.
    GeoInformatica 2013, Volume 17 (0) 2013
    Conference paper
    Haixun Wang, Jian Pei.
    A Random Method for Quantifying Changing Distributions in Data Streams.
    Knowledge Discovery in Databases: PKDD 2005, 9th European Conference on Principles and Practice of Knowledge Discovery in Databases, Porto, Portugal, October 3-7, 2005, Proceedings 2005 (0) 2005
    Conference paper
    Junyi Xie, Jun Yang 0001, Yuguo Chen, Haixun Wang, Philip S. Yu.
    A Sampling-Based Approach to Information Recovery.
    Proceedings of the 24th International Conference on Data Engineering, ICDE 2008, April 7-12, 2008, Cancún, México 2008 (0) 2008
    Book chapter
    Haixun Wang, Charu C. Aggarwal.
    A Survey of Algorithms for Keyword Search on Graph Data.
    Managing and Mining Graph Data 2010, Volume 40 (0) 2010
    Book chapter
    Charu C. Aggarwal, Haixun Wang.
    A Survey of Clustering Algorithms for Graph Data.
    Managing and Mining Graph Data 2010, Volume 40 (0) 2010
    Conference paper
    Zhixian Zhang, Kenny Q. Zhu, Haixun Wang.
    A system for extracting top-K lists from the web.
    The 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD '12, Beijing, China, August 12-16, 2012 2012 (0) 2012
    Conference paper
    Muhammad Aamir Cheema, Xuemin Lin, Haixun Wang, Jianmin Wang, Wenjie Zhang.
    A unified approach for computing top-k pairs in multidimensional space.
    Proceedings of the 27th International Conference on Data Engineering, ICDE 2011, April 11-16, 2011, Hannover, Germany 2011 (0) 2011
    Conference paper
    Wei Fan, Yi-an Huang, Haixun Wang, Philip S. Yu.
    Active Mining of Data Streams.
    Proceedings of the Fourth SIAM International Conference on Data Mining, Lake Buena Vista, Florida, USA, April 22-24, 2004 2004 (0) 2004
    Conference paper
    Xiaohui Gu, Philip S. Yu, Haixun Wang.
    Adaptive Load Diffusion for Multiway Windowed Stream Joins.
    Proceedings of the 23rd International Conference on Data Engineering, ICDE 2007, The Marmara Hotel, Istanbul, Turkey, April 15-20, 2007 2007 (0) 2007
    Conference paper
    Yongmin Tan, Xiaohui Gu, Haixun Wang.
    Adaptive system anomaly prediction for large-scale hosting infrastructures.
    Proceedings of the 29th Annual ACM Symposium on Principles of Distributed Computing, PODC 2010, Zurich, Switzerland, July 25-28, 2010 2010 (0) 2010
    Conference paper
    Peng Wang, Haixun Wang, Majin Liu, Wei Wang.
    An algorithmic approach to event summarization.
    Proceedings of the ACM SIGMOD International Conference on Management of Data, SIGMOD 2010, Indianapolis, Indiana, USA, June 6-10, 2010 2010 (0) 2010
    Conference paper
    Jiong Yang, Haixun Wang, Wei Wang 0010, Philip S. Yu.
    An Improved Biclustering Method for Analyzing Gene Expression Profiles.
    International Journal on Artificial Intelligence Tools 2005, Volume 14 (0) 2005
    Show item 1 to 25 of 230  

    Your query returned 230 matches in the database.