Title : 
Max-count aggregation estimation for moving points
         
        
            Author : 
Chen, Yi ; Revesz, Peter
         
        
            Author_Institution : 
Dept. of Comput. Sci. & Eng., Nebraska Univ., Lincoln, NE, USA
         
        
        
        
        
        
            Abstract : 
Many interesting problems regarding moving objects can be reduced to the following question: Given a set S of moving points on a line and two other movings points A and B on the same line, what is the maximum number of points in S that will be simultaneously between A and B within a time interval (t1, t2)? We propose an algorithm that can estimate the answer for arbitrary A and B and any fixed S in a chosen constant time. We show that the error rate of the estimation is related to this chosen constant and some other parameters of the input data. Our experimental results show that high accuracy estimation can be achieved when S has a large number of points and A and B are not too close to each other.
         
        
            Keywords : 
database theory; estimation theory; query processing; temporal databases; max-count aggregation estimation; moving objects; moving points; time interval; Aggregates; Computer science; Error analysis; Histograms; Meteorology; Relational databases; Transportation;
         
        
        
        
            Conference_Titel : 
Temporal Representation and Reasoning, 2004. TIME 2004. Proceedings. 11th International Symposium on
         
        
        
            Print_ISBN : 
0-7695-2155-X
         
        
        
            DOI : 
10.1109/TIME.2004.1314426