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» Tracking Clusters in Evolving Data Sets
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KDD
2007
ACM
184views Data Mining» more  KDD 2007»
14 years 5 months ago
Dynamic hybrid clustering of bioinformatics by incorporating text mining and citation analysis
To unravel the concept structure and dynamics of the bioinformatics field, we analyze a set of 7401 publications from the Web of Science and MEDLINE databases, publication years 1...
Bart De Moor, Frizo A. L. Janssens, Wolfgang Gl&au...
SDM
2008
SIAM
139views Data Mining» more  SDM 2008»
13 years 6 months ago
Proximity Tracking on Time-Evolving Bipartite Graphs
Given an author-conference network that evolves over time, which are the conferences that a given author is most closely related with, and how do they change over time? Large time...
Hanghang Tong, Spiros Papadimitriou, Philip S. Yu,...
WACV
2005
IEEE
13 years 11 months ago
Multi-Layer Hierarchical Clustering of Pedestrian Trajectories for Automatic Counting of People in Video Sequences
In this paper we propose an approach to count the number of pedestrians, given a trajectory data set provided by a tracking system. The tracking process itself is treated as a bla...
David Biliotti, Gianluca Antonini, Jean-Philippe T...
ICDE
2010
IEEE
491views Database» more  ICDE 2010»
14 years 5 months ago
TrajStore: An Adaptive Storage System for Very Large Trajectory Data Sets
The rise of GPS and broadband-speed wireless devices has led to tremendous excitement about a range of applications broadly characterized as "location based services". Cu...
Philippe Cudré-Mauroux, Eugene Wu, Samuel M...
CN
2006
163views more  CN 2006»
13 years 5 months ago
A framework for mining evolving trends in Web data streams using dynamic learning and retrospective validation
The expanding and dynamic nature of the Web poses enormous challenges to most data mining techniques that try to extract patterns from Web data, such as Web usage and Web content....
Olfa Nasraoui, Carlos Rojas, Cesar Cardona