Titlebook: Advances in Spatial and Temporal Databases; 9th International Sy Claudia Bauzer Medeiros,Max J. Egenhofer,Elisa Ber Conference proceedings

Paradox

闖入

Density Estimation for Spatial Data Streams Local Kernels, for computing density estimators by using local rather than global statistics on the data. The approach is easy to extend to an on-line setting, by maintaining a small random sample with a kd-tree-like structure on top of it. Our structure dynamically adapts to changes in the localit

Habituate

Panther

Ceramic

性上癮

Omnipotent

Accurate and Efficient Similarity Search on 3D Objects Using Point Sampling, Redundancy, and Proporteffectively search for these 3D objects become indispensible. Invariances w.r.t. specific geometric transformations such as scaling, translation, and rotation are important features of similarity models. In this paper, we focus on rotation invariance. We first propose a new method of representing ob

entice

LUT

Evaluation of Top-k OLAP Queries Using Aggregate R–Treese value. An example of such a query is “find the 10 combinations of product-type and month with the largest sum of sales”. Such 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 insta

narcotic

PA-Tree: A Parametric Indexing Scheme for Spatio-temporal Trajectoriesport complex spatio-temporal queries on such data. Current work in this domain has used MBRs to approximate trajectories, which fail to capture some basic properties of trajectories, including smoothness and lack of internal area. This mismatch leads to poor pruning when such indices are used. In th