Please use this identifier to cite or link to this item:
|Title:||Querying and Mining Moving Object Databases Using Places of Interest||Authors:||Gomez, Letitia
|Issue Date:||2009||Publisher:||Springer-Verlag||Source:||Kozielski, Stanislaw & Wrembel, Robert (Ed.) New Trends in Data Warehousing and Data Analysis, p. 249-274||Series/Report:||Annals of Information Systems||Series/Report no.:||3||Abstract:||The study of moving ob jects has been capturing the attention of Geographic Information System (GIS) researchers. Moving ob jects, carrying location-aware devices, produce tra jectory data in the form of a sample of (Oid , t, x, y)-tuples, that contain ob ject identiﬁer and time-space information. Recently, the notion of stops and moves was introduced. Intuitively, if a moving ob ject spends a suﬃcient amount of time in a certain geographic place (which we denote a place of interest of an application), this place is considered a stop of the ob ject’s tra jectory. In-between stops, a tra jectory has moves. In this paper we study how moving ob ject data analysis can beneﬁt from replacing raw tra jectory data by a sequence of stops and moves. We ﬁrst propose a formal model and query language (denoted Lmo ) to express complex queries involving spatial data stored in a GIS, non-spatial data (stored in a data warehouse) and moving ob ject data. This query language also supports diﬀerent forms of aggregation. We then study the compression of tra jectory data produced by moving ob jects, using the concepts of stops and moves. We show that stops and moves are expressible in Lmo and that there exists a fragment of this language (that can be expressed by means of regular expressions) allowing to talk about temporally ordered sequences of stops and moves. We use this fragment to perform data mining over tra- jectory data. We present an implementation and a case study, and discuss diﬀerent applications of our approach.||Document URI:||http://hdl.handle.net/1942/10670||Link to publication:||http://www.springer.com/business+%26+management/business+information+systems/book/978-0-387-87430-2||ISBN:||978-0-387-87430-2||Category:||B2||Type:||Book Section|
|Appears in Collections:||Research publications|
Show full item record
checked on May 20, 2022
checked on May 20, 2022
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.