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DKE
2010
167views more  DKE 2010»
13 years 1 months ago
Discovering private trajectories using background information
Trajectories are spatio-temporal traces of moving objects which contain valuable information to be harvested by spatio-temporal data mining techniques. Applications like city traf...
Emre Kaplan, Thomas Brochmann Pedersen, Erkay Sava...
SAC
2008
ACM
13 years 4 months ago
A clustering-based approach for discovering interesting places in trajectories
Because of the large amount of trajectory data produced by mobile devices, there is an increasing need for mechanisms to extract knowledge from this data. Most existing works have...
Andrey Tietbohl Palma, Vania Bogorny, Bart Kuijper...
SSD
2009
Springer
149views Database» more  SSD 2009»
13 years 11 months ago
Analyzing Trajectories Using Uncertainty and Background Information
A key issue in clustering data, regardless the algorithm used, is the definition of a distance function. In the case of trajectory data, different distance functions have been pro...
Bart Kuijpers, Bart Moelans, Walied Othman, Alejan...
ER
2007
Springer
128views Database» more  ER 2007»
13 years 10 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...
DATAMINE
2010
133views more  DATAMINE 2010»
13 years 4 months ago
Using background knowledge to rank itemsets
Assessing the quality of discovered results is an important open problem in data mining. Such assessment is particularly vital when mining itemsets, since commonly many of the disc...
Nikolaj Tatti, Michael Mampaey