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» Mining Significant Semantic Locations From GPS Data
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AAAI
2004
13 years 8 months ago
Learning and Inferring Transportation Routines
This paper introduces a hierarchical Markov model that can learn and infer a user's daily movements through the commue model uses multiple levels of abstraction in order to b...
Lin Liao, Dieter Fox, Henry A. Kautz
TKDE
2011
183views more  TKDE 2011»
13 years 2 months ago
Mining Discriminative Patterns for Classifying Trajectories on Road Networks
—Classification has been used for modeling many kinds of data sets, including sets of items, text documents, graphs, and networks. However, there is a lack of study on a new kind...
Jae-Gil Lee, Jiawei Han, Xiaolei Li, Hong Cheng
ER
2007
Springer
128views Database» more  ER 2007»
14 years 1 months ago
Dynamic Modeling of Trajectory Patterns using Data Mining and Reverse Engineering
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. Ex...
Luis Otávio Alvares, Vania Bogorny, Jos&eac...
MIE
2008
171views Healthcare» more  MIE 2008»
13 years 9 months ago
DebugIT for Patient Safety - Improving the Treatment with Antibiotics through Multimedia Data Mining of Heterogeneous Clinical D
The concepts and architecture underlying a large-scale integrating project funded within the 7th EU Framework Programme (FP7) are discussed. The main objective of the project is to...
Christian Lovis, Dirk Colaert, Veli N. Stroetmann
EDBT
2011
ACM
225views Database» more  EDBT 2011»
12 years 11 months ago
SeMiTri: a framework for semantic annotation of heterogeneous trajectories
GPS devices allow recording the movement track of the moving object they are attached to. This data typically consists of a stream of spatio-temporal (x,y,t) points. For applicati...
Zhixian Yan, Dipanjan Chakraborty, Christine Paren...