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HPCC
2007
Springer
14 years 27 days ago
A Data Imputation Model in Sensor Databases
Data missing is a common problem in database query processing, which can cause bias or lead to inefficient analyses, and this problem happens more often in sensor databases. The re...
Nan Jiang
ICDM
2007
IEEE
145views Data Mining» more  ICDM 2007»
14 years 1 months ago
Using Data Mining to Estimate Missing Sensor Data
Estimating missing sensor values is an inherent problem in sensor network applications; however, existing data estimation approaches do not apply well to the context of datastream...
Le Gruenwald, Hamed Chok, Mazen Aboukhamis
SDM
2009
SIAM
157views Data Mining» more  SDM 2009»
14 years 3 months ago
MUSK: Uniform Sampling of k Maximal Patterns.
Recent research in frequent pattern mining (FPM) has shifted from obtaining the complete set of frequent patterns to generating only a representative (summary) subset of frequent ...
Mohammad Al Hasan, Mohammed Javeed Zaki
CORR
2012
Springer
227views Education» more  CORR 2012»
12 years 2 months ago
Trajectory and Policy Aware Sender Anonymity in Location Based Services
We consider Location-based Service (LBS) settings, where a LBS provider logs the requests sent by mobile device users over a period of time and later wants to publish/share these ...
Alin Deutsch, Richard Hull, Avinash Vyas, Kevin Ke...
CIKM
2008
Springer
13 years 8 months ago
Mining social networks using heat diffusion processes for marketing candidates selection
Social Network Marketing techniques employ pre-existing social networks to increase brands or products awareness through word-of-mouth promotion. Full understanding of social netw...
Hao Ma, Haixuan Yang, Michael R. Lyu, Irwin King