EAN: 9783319024073

SPRINGERBRIEFS IN COMPUTER SCIENCE SPATIO-TEM...

This brief presents several new query processing techniques  called complex motion pattern
queries  specifically designed for very large spatio-temporal databases of moving objects. The
brief begins with the definition of flexible pattern queries  which are powerful because of the
integration of variables and motion patterns. This is followed by a summary of the expressive
power of patterns and flexibility of pattern queries. The brief then present the
Spatio-Temporal Pattern System (STPS) and density-based pattern queries. STPS databases contain
millions of records with information about mobile phone calls and are designed around cellular
towers and places of interest. Density-based pattern queries capture the aggregate behavior of
trajectories as groups. Several evaluation algorithms are presented for finding groups of
trajectories that move together in space and time  i.e. within a predefined distance to each
other. Finally  the brief describes a generic framework  called DivDB  for diversifying query
results. Two new evaluation methods  as well as several existing ones  are described and tested
in the proposed DivDB framework. The efficiency and effectiveness of all the proposed complex
motion pattern queries are demonstrated through an extensive experimental evaluation using real
and synthetic spatio-temporal databases. This clear evaluation of new query processing
techniques makes Spatio-Temporal Database a valuable resource for professionals and researchers
studying databases  data mining  and pattern recognition.

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