Definition
A top-k OLAP query groups measurements with respect to some abstraction level of interesting dimensions and selects the k groups with the highest aggregate value. An example of such a query is “find the 10 combinations of product-type and month with the largest sum of sales”. Top-k queries may also be applied in a spatial database context, where objects are augmented with some measures that must be aggregated according to a spatial division. For instance, consider a map of objects (e.g., restaurants) where each object carries some non-spatial measure (e.g., the number of customers served during the last month). Given a partitioning of the space into regions (e.g., city districts), the goal is to find the regions with the highest number of served customers. Formally, the top-k OLAP query can be defined as follows:
Let\(\mathcal{D} =\{ d_{1},\ldots, d_{m}\}\)be a set of m interesting...
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Beckmann N, Kriegel H, Schneider R, Seeger B (1990) The R*-tree: an efficient and robust access method for points and rectangles. In: Proceedings of ACM SIGMOD, Atlantic City, pp 220–231
Fang M, Shivakumar N, Garcia-Molina H, Motwani R, Ullman JD (1998) Computing iceberg queries efficiently. In: Proceedings of VLDB, New York
Han J, Stefanovic N, Koperski K (1998) Selective materialization: an efficient method for spatial data cube construction. In: Second Pacific-Asia conference, PAKDD-98, Melbourne, 15–17 Apr 1998, pp 144–158
Harinarayan V, Rajaraman A, Ullman JD (1996) Implementing data cubes efficiently. In: Proceedings of ACM SIGMOD, Montreal, pp 205–216
Hjaltason GR, Samet H (1999) Distance browsing in spatial databases. ACM TODS 24(2):265–318
Kalnis P, Mamoulis N, Bakiras S (2005) On discovering moving clusters in spatio-temporal data. In: Proceedings of the 9th international symposium on spatial and temporal databases (SSTD), Angra dos Reis, Aug 2005, pp 364–381
Kimball R (1996) The data warehouse toolkit. Wiley, New York
Lazaridis I, Mehrotra S (2001) Progressive approximate aggregate queries with a multi-resolution tree structure. In: Proceedings of ACM SIGMOD, Santa Barbara
Papadias D, Kalnis P, Zhang J, Tao Y (2001) Efficient OLAP operations in spatial data warehouses. In: Proceedings of SSTD, Redondo Beach
Pedersen TB, Tryfona N (2001) Pre-aggregation in spatial data warehouses. In: Proceedings of SSTD, Redondo Beach, pp 460–480
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Mamoulis, N., Bakiras, S., Kalnis, P. (2017). Top-k OLAP Queries Using Augmented Spatial Access Methods. In: Shekhar, S., Xiong, H., Zhou, X. (eds) Encyclopedia of GIS. Springer, Cham. https://doi.org/10.1007/978-3-319-17885-1_1391
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DOI: https://doi.org/10.1007/978-3-319-17885-1_1391
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