A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is
Proceedings 2004 VLDB Conference
A number of emerging applications of data management technology involve the monitoring and querying of large quantities of continuous variables, e.g., the positions of mobile service users, termed moving objects. In such applications, large quantities of state samples obtained via sensors are streamed to a database. Indexes for moving objects must support queries efficiently, but must also support frequent updates. Indexes based on minimum bounding regions (MBRs) such as the R-tree exhibit highdoi:10.1016/b978-012088469-8.50068-1 dblp:conf/vldb/JensenLO04 fatcat:vynf47ddvzcyhhlpmbjz26sxo4