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» Privacy-Preserving Data Mining on Moving Object Trajectories
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DASFAA
2010
IEEE
419views Database» more  DASFAA 2010»
14 years 2 months ago
Incremental Clustering for Trajectories
Trajectory clustering has played a crucial role in data analysis since it reveals underlying trends of moving objects. Due to their sequential nature, trajectory data are often rec...
Zhenhui Li, Jae-Gil Lee, Xiaolei Li, Jiawei Han
DEBU
2010
88views more  DEBU 2010»
13 years 7 months ago
SECONDO: A Platform for Moving Objects Database Research and for Publishing and Integrating Research Implementations
Databases supporting time dependent and continuously changing geometries, called moving objects databases, have been studied for about 15 years. The field has been flourishing and...
Ralf Hartmut Güting, Thomas Behr, Christian D...
SSD
2007
Springer
243views Database» more  SSD 2007»
14 years 1 months ago
Continuous Medoid Queries over Moving Objects
In the k-medoid problem, given a dataset P, we are asked to choose k points in P as the medoids. The optimal medoid set minimizes the average Euclidean distance between the points ...
Stavros Papadopoulos, Dimitris Sacharidis, Kyriako...
KDD
2006
ACM
159views Data Mining» more  KDD 2006»
14 years 8 months ago
Global distance-based segmentation of trajectories
This work introduces distance-based criteria for segmentation of object trajectories. Segmentation leads to simplification of the original objects into smaller, less complex primi...
Aris Anagnostopoulos, Michail Vlachos, Marios Hadj...
CIKM
2010
Springer
13 years 6 months ago
Top-Eye: top-k evolving trajectory outlier detection
The increasing availability of large-scale location traces creates unprecedent opportunities to change the paradigm for identifying abnormal moving activities. Indeed, various asp...
Yong Ge, Hui Xiong, Zhi-hua Zhou, Hasan Ozdemir, J...