Abstract
Given a set of spatial objects with scores and a size of a rectangle, MaxRS (Maximizing Range Sum) queries retrieve the location of the rectangle which maximizes the sum of the scores of all objects covered by the rectangle. MaxRS queries can be employed in many useful applications such as finding an attractive area for tourists. So far, some literatures proposed efficient algorithms for MaxRS query processing in traditional databases. In real environments, however, values of data are inherently uncertain. Therefore, for the first time, we address the problem of processing probabilistic MaxRS (P-MaxRS) queries. P-MaxRS queries retrieve a set of tuples \(\langle l, p\rangle \), where p is the probability that l is a MaxRS location. Our algorithm prunes locations with zero probability to be MaxRS, and then efficiently calculates p for each location where can be a MaxRS location. Our experiments demonstrate the efficiency of our algorithm.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Akbarinia, R., Valduriez, P., Verger, G.: Efficient evaluation of SUM queries over probabilistic data. TKDE 25(4), 764–775 (2013)
Amagata, D., Hara, T.: Monitoring MaxRS in spatial data streams. In: EDBT, pp. 317–328 (2016)
Choi, D.W., Chung, C.W., Tao, Y.: A scalable algorithm for maximizing range sum in spatial databases. PVLDB 5(11), 1088–1099 (2012)
Choi, D.W., Chung, C.W., Tao, Y.: Maximizing range sum in external memory. TODS 39(3), 21 (2014)
Hua, M., Pei, J., Zhang, W., Lin, X.: Ranking queries on uncertain data: a probabilistic threshold approach. In: SIGMOD, pp. 673–686 (2008)
Nandy, S.C., Bhattacharya, B.B.: A unified algorithm for finding maximum and minimum object enclosing rectangles and cuboids. Comput. Math. Appl. 29(8), 45–61 (1995)
Tao, Y., Hu, X., Choi, D.W., Chung, C.W.: Approximate MaxRS in spatial databases. PVLDB 6(13), 1546–1557 (2013)
Yuen, S.M., Tao, Y., Xiao, X., Pei, J., Zhang, D.: Superseding nearest neighbor search on uncertain spatial databases. TKDE 22(7), 1041–1055 (2010)
Zhan, L., Zhang, Y., Zhang, W., Lin, X.: Finding top \(k\) most influential spatial facilities over uncertain objects. TKDE 27(12), 3289–3303 (2015)
Zhou, X., Wang, W., Xu, J.: General purpose index-based method for efficient MaxRS query. In: Hartmann, S., Ma, H. (eds.) DEXA 2016. LNCS, vol. 9827, pp. 20–36. Springer, Cham (2016). doi:10.1007/978-3-319-44403-1_2
Acknowledgement
This research is partially supported by the Grant-in-Aid for Scientific Research (A)(JP2620013) of the Ministry of Education, Culture, Sports, Science and Technology, Japan, and JST, Strategic International Collaborative Research Program, SICORP.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing AG
About this paper
Cite this paper
Nakayama, Y., Amagata, D., Hara, T. (2017). Probabilistic MaxRS Queries on Uncertain Data. In: Benslimane, D., Damiani, E., Grosky, W., Hameurlain, A., Sheth, A., Wagner, R. (eds) Database and Expert Systems Applications. DEXA 2017. Lecture Notes in Computer Science(), vol 10438. Springer, Cham. https://doi.org/10.1007/978-3-319-64468-4_8
Download citation
DOI: https://doi.org/10.1007/978-3-319-64468-4_8
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-64467-7
Online ISBN: 978-3-319-64468-4
eBook Packages: Computer ScienceComputer Science (R0)