Abstract
Probabilistic queries on uncertain data have been intensively investigated lately. Top-k dominating query is important in many applications, e.g., decision making, as it offers choices which are better than the most of others. In this paper, we study the problem of probabilistic top-k dominating query over sliding windows. An efficient algorithm is developed to compute the exact solution. Extensive experiments are conducted to demonstrate the efficiency and effectiveness of the algorithm.
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Beckmann, N., Kriegel, H.-P., Schneider, R., Seeger, B.: The r*-tree: An efficient and robust access method for points and rectangles. In: SIGMOD Conference, pp. 322–331 (1990)
Bernecker, T., Kriegel, H.-P., Mamoulis, N., Renz, M., Züfle, A.: Scalable probabilistic similarity ranking in uncertain databases. IEEE Trans. Knowl. Data Eng. 22(9), 1234–1246 (2010)
Bernecker, T., Kriegel, H.-P., Mamoulis, N., Renz, M., Zuefle, A.: Continuous inverse ranking queries in uncertain streams. In: Bayard Cushing, J., French, J., Bowers, S. (eds.) SSDBM 2011. LNCS, vol. 6809, pp. 37–54. Springer, Heidelberg (2011)
Börzsönyi, S., Kossmann, D., Stocker, K.: The skyline operator. In: ICDE, pp. 421–430 (2001)
Cormode, G., Garofalakis, M.N.: Sketching probabilistic data streams. In: Chan, C.Y., Ooi, B.C., Zhou, A. (eds.) SIGMOD Conference, pp. 281–292. ACM (2007)
Lange, K.: Numerical analysis for statisticians. Statistics and Computing (1999)
Lian, X., Chen, L.: Top-k dominating queries in uncertain databases. In: Kersten, M.L., Novikov, B., Teubner, J., Polutin, V., Manegold, S. (eds.) EDBT. ACM International Conference Proceeding Series, vol. 360, pp. 660–671. ACM (2009)
Roussopoulos, N., Kelley, S., Vincent, F.: Nearest neighbor queries. In: SIGMOD Conference, pp. 71–79 (1995)
Shen, Z., Cheema, M.A., Lin, X., Zhang, W., Wang, H.: Efficiently monitoring top-k pairs over sliding windows. In: Kementsietsidis, A., Salles, M.A.V. (eds.) ICDE, pp. 798–809. IEEE Computer Society (2012)
Yiu, M.L., Mamoulis, N.: Efficient processing of top-k dominating queries on multi-dimensional data. In: VLDB, pp. 483–494 (2007)
Zhang, Q., Li, F., Yi, K.: Finding frequent items in probabilistic data. In: SIGMOD Conference, pp. 819–832 (2008)
Zhang, W., Lin, X., Zhang, Y., Pei, J., Wang, W.: Threshold-based probabilistic top-k dominating queries. VLDB J. 19(2), 283–305 (2010)
Zhang, W., Lin, X., Zhang, Y., Wang, W., Yu, J.X.: Probabilistic skyline operator over sliding windows. In: Ioannidis, Y.E., Lee, D.L., Ng, R.T. (eds.) ICDE, pp. 1060–1071. IEEE (2009)
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Feng, X., Zhao, X., Gao, Y., Zhang, Y. (2013). Probabilistic Top-k Dominating Query over Sliding Windows. In: Ishikawa, Y., Li, J., Wang, W., Zhang, R., Zhang, W. (eds) Web Technologies and Applications. APWeb 2013. Lecture Notes in Computer Science, vol 7808. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37401-2_75
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DOI: https://doi.org/10.1007/978-3-642-37401-2_75
Publisher Name: Springer, Berlin, Heidelberg
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