Efficient Fuzzy Top-k Query Processing over Uncertain Objects
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[1] Sunil Prabhakar,et al. Querying imprecise data in moving object environments , 2003, IEEE Transactions on Knowledge and Data Engineering.
[2] Ulrich Bodenhofer,et al. Flexible Query Answering Using Distance-Based Fuzzy Relations , 2006, Theory and Applications of Relational Structures as Knowledge Instruments.
[3] Marc Roubens,et al. Theory and Applications of Relational Structures as Knowledge Instruments II, International Workshops of COST Action 274, TARSKI, 2002-2005, Selected Revised Papers , 2006, Theory and Applications of Relational Structures as Knowledge Instruments.
[4] Christian Böhm,et al. The Gauss-Tree: Efficient Object Identification in Databases of Probabilistic Feature Vectors , 2006, 22nd International Conference on Data Engineering (ICDE'06).
[5] Shyi-Ming Chen,et al. Fuzzy query translation for relational database systems , 1997, IEEE Trans. Syst. Man Cybern. Part B.
[6] Yufei Tao,et al. Range search on multidimensional uncertain data , 2007, TODS.
[7] Wei Hong,et al. Model-Driven Data Acquisition in Sensor Networks , 2004, VLDB.
[8] Lei Chen,et al. Robust and fast similarity search for moving object trajectories , 2005, SIGMOD '05.
[9] Jeffrey Xu Yu,et al. Spatial Range Querying for Gaussian-Based Imprecise Query Objects , 2009, 2009 IEEE 25th International Conference on Data Engineering.
[10] Feifei Li,et al. Efficient Processing of Top-k Queries in Uncertain Databases with x-Relations , 2008, IEEE Trans. Knowl. Data Eng..
[11] Xiang Lian,et al. Probabilistic ranked queries in uncertain databases , 2008, EDBT '08.
[12] Ihab F. Ilyas,et al. Efficient search for the top-k probable nearest neighbors in uncertain databases , 2008, Proc. VLDB Endow..
[13] Jian Pei,et al. Efficiently Answering Probabilistic Threshold Top-k Queries on Uncertain Data , 2008, 2008 IEEE 24th International Conference on Data Engineering.
[14] Mohamed A. Soliman,et al. Top-k Query Processing in Uncertain Databases , 2007, 2007 IEEE 23rd International Conference on Data Engineering.