Title :
Aggregation Estimation for 2D Moving Points
Author_Institution :
Nebraska Univ., Lincoln, NE
Abstract :
The new max-count aggregation operator presented finds the maximum number of 2D moving points that overlap a moving query rectangle within a specified time interval. Two linearly moving points define the query rectangle which may move, and grow or shrink over time. We give the first constant running-time estimation algorithm to solve the max-count aggregation problem in two dimensions. The estimation algorithm uses 4D buckets to index objects. The implementation of the max-count estimation algorithm and the experimental data show that the method exhibits good accuracy and speed
Keywords :
estimation theory; query processing; temporal databases; visual databases; 2D moving points; aggregation estimation; max-count aggregation operator; max-count estimation algorithm; query rectangle; running-time estimation algorithm; spatiotemporal database; Aggregates; Belts; Embedded system; Geographic Information Systems; Global Positioning System; Probes; Relational databases; Space exploration; Spatiotemporal phenomena; Sun;
Conference_Titel :
Temporal Representation and Reasoning, 2006. TIME 2006. Thirteenth International Symposium on
Conference_Location :
Budapest
Print_ISBN :
0-7695-2617-9
DOI :
10.1109/TIME.2006.5