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» Analysis of sampling techniques for association rule mining
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IPSN
2010
Springer
14 years 1 months ago
Self-identifying sensor data
Public-use sensor datasets are a useful scientific resource with the unfortunate feature that their provenance is easily disconnected from their content. To address this we intro...
Stephen Chong, Christian Skalka, Jeffrey A. Vaugha...
RITA
2002
110views more  RITA 2002»
13 years 6 months ago
Modeling and Rendering of Real Environments
The use of detailed geometric models is a critical factor for achieving realism in most computer graphics applications. In the past few years, we have observed an increasing deman...
Wagner Toledo Corrêa, Manuel M. Oliveira, Cl...
SDM
2007
SIAM
143views Data Mining» more  SDM 2007»
13 years 8 months ago
Less is More: Compact Matrix Decomposition for Large Sparse Graphs
Given a large sparse graph, how can we find patterns and anomalies? Several important applications can be modeled as large sparse graphs, e.g., network traffic monitoring, resea...
Jimeng Sun, Yinglian Xie, Hui Zhang, Christos Falo...
SDM
2009
SIAM
176views Data Mining» more  SDM 2009»
14 years 3 months ago
Discovery of Geospatial Discriminating Patterns from Remote Sensing Datasets.
Large amounts of remotely sensed data calls for data mining techniques to fully utilize their rich information content. In this paper, we study new means of discovery and summariz...
Wei Ding 0003, Tomasz F. Stepinski, Josue Salazar
CCS
2009
ACM
13 years 10 months ago
On lightweight mobile phone application certification
Users have begun downloading an increasingly large number of mobile phone applications in response to advancements in handsets and wireless networks. The increased number of appli...
William Enck, Machigar Ongtang, Patrick Drew McDan...