Dynamic modeling of trajectory patterns using data mining and reverse engineering

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Dynamic modeling of trajectory patterns using data mining and reverse engineering (2007)

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by Luis Otavio Alvares , Vania Bogorny Jose Antonio Fern , Es De Macedo , Bart Moelans , Stefano Spaccapietra

Venue:	In Twenty-Sixth International Conference on Conceptual Modeling - ER2007 - Tutorials, Posters, Panels and Industrial Contributions
Citations:	8 - 2 self

BibTeX

@INPROCEEDINGS{Alvares07dynamicmodeling,
    author = {Luis Otavio Alvares and Vania Bogorny Jose Antonio Fern and Es De Macedo and Bart Moelans and Stefano Spaccapietra},
    title = {Dynamic modeling of trajectory patterns using data mining and reverse engineering},
    booktitle = {In Twenty-Sixth International Conference on Conceptual Modeling - ER2007 - Tutorials, Posters, Panels and Industrial Contributions},
    year = {2007}
}

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Abstract

The constant increase of moving object data imposes the need for modeling, processing, and mining trajectories, in order to find and understand the patterns behind these data. Existing works have mainly focused on the geometric properties of trajectories, while the semantics and the background geographic information has rarely been addressed. We claim that meaningful patterns can only be extracted from trajectories if the geographic space where trajectories are located is considered. In this paper we propose a reverse engineering framework for mining and modeling semantic trajectory patterns. Since trajectory patterns are data dependent, they may not be modeled in conceptual geographic database schemas before they are known. Therefore, we apply data mining to extract general trajectory patterns, and through a new kind of relationships, we model these patterns in the geographic database schema. A case study shows the power of the framework for modeling semantic trajectory patterns in the geographic space.

Keyphrases

trajectory pattern data mining dynamic modeling reverse engineering geographic space semantic trajectory pattern reverse engineering framework general trajectory pattern geometric property constant increase object data background geographic information mining trajectory case study geographic database schema data dependent conceptual geographic database schema new kind meaningful pattern

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