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» Clustering by pattern similarity in large data sets
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GIS
2008
ACM
14 years 8 months ago
Mining user similarity based on location history
The pervasiveness of location-acquisition technologies (GPS, GSM networks, etc.) enable people to conveniently log the location histories they visited with spatio-temporal data. T...
Quannan Li, Yu Zheng, Xing Xie, Yukun Chen, Wenyu ...
ICPR
2010
IEEE
14 years 2 months ago
Canonical Patterns of Oriented Topologies
—A common problem in many areas of behavioral research is the analysis of the large volume of data recorded during the execution of the tasks being studied. Recent work has propo...
Walter Mankowski, Ali Shokoufandeh, Dario Salvucci
BMCBI
2006
190views more  BMCBI 2006»
13 years 7 months ago
VANTED: A system for advanced data analysis and visualization in the context of biological networks
Background: Recent advances with high-throughput methods in life-science research have increased the need for automatized data analysis and visual exploration techniques. Sophisti...
Björn H. Junker, Christian Klukas, Falk Schre...
KDD
2001
ACM
253views Data Mining» more  KDD 2001»
14 years 8 months ago
GESS: a scalable similarity-join algorithm for mining large data sets in high dimensional spaces
The similarity join is an important operation for mining high-dimensional feature spaces. Given two data sets, the similarity join computes all tuples (x, y) that are within a dis...
Jens-Peter Dittrich, Bernhard Seeger
ISMIR
2005
Springer
206views Music» more  ISMIR 2005»
14 years 1 months ago
Improving Content-Based Similarity Measures by Training a Collaborative Model
We observed that for multimedia data – especially music - collaborative similarity measures perform much better than similarity measures derived from content-based sound feature...
Richard Stenzel, Thomas Kamps