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» Discovering Similar Multidimensional Trajectories
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SSDBM
2009
IEEE
116views Database» more  SSDBM 2009»
14 years 5 months ago
Constraint-Based Learning of Distance Functions for Object Trajectories
Abstract. With the drastic increase of object trajectory data, the analysis and exploration of trajectories has become a major research focus with many applications. In particular,...
Wei Yu, Michael Gertz
ICDE
2011
IEEE
240views Database» more  ICDE 2011»
13 years 2 months ago
Similarity measures for multidimensional data
— How similar are two data-cubes? In other words, the question under consideration is: given two sets of points in a multidimensional hierarchical space, what is the distance val...
Eftychia Baikousi, Georgios Rogkakos, Panos Vassil...
ISMIS
1997
Springer
14 years 3 months ago
Discovering Empirical Equations from Robot-Collected Data
Discovery of multidimensional empirical equations has been a task of systems such as BACON and FAHRENHEIT. When confronted with data collected in a robotic experiment, BACON-like g...
Kuang-Ming Huang, Jan M. Zytkow
ICDM
2010
IEEE
148views Data Mining» more  ICDM 2010»
13 years 8 months ago
Comparing Vessel Trajectories Using Geographical Domain Knowledge and Alignments
Abstract--This paper presents a similarity measure that combines low-level trajectory information with geographical domain knowledge to compare vessel trajectories. The similarity ...
Gerben de Vries, Willem Robert van Hage, Maarten v...
KDD
2004
ACM
182views Data Mining» more  KDD 2004»
14 years 11 months ago
Rotation invariant distance measures for trajectories
For the discovery of similar patterns in 1D time-series, it is very typical to perform a normalization of the data (for example a transformation so that the data follow a zero mea...
Michail Vlachos, Dimitrios Gunopulos, Gautam Das