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» Using Data Mining to Estimate Missing Sensor Data
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KDD
2004
ACM
148views Data Mining» more  KDD 2004»
16 years 6 months ago
Interestingness of frequent itemsets using Bayesian networks as background knowledge
The paper presents a method for pruning frequent itemsets based on background knowledge represented by a Bayesian network. The interestingness of an itemset is defined as the abso...
Szymon Jaroszewicz, Dan A. Simovici
VLSISP
2011
223views Database» more  VLSISP 2011»
15 years 1 months ago
Wideband Beamspace Processing Using Orthogonal Modal Beamformers
We introduce a novel beamspace processing structure that can be used for narrowband or wideband sources located either in nearfield or farfield of a sensor array. Main features o...
Thushara D. Abhayapala, Darren B. Ward
CSB
2005
IEEE
126views Bioinformatics» more  CSB 2005»
15 years 11 months ago
Discover True Association Rates in Multi-protein Complex Proteomics Data Sets
Experimental processes to collect and process proteomics data are increasingly complex, while the computational methods to assess the quality and significance of these data remain...
Changyu Shen, Lang Li, Jake Yue Chen
GI
2009
Springer
15 years 3 months ago
Tracking of Extended Objects and Group Targets using Random Matrices - A Performance Analysis
: The task of tracking extended objects or (partly) unresolvable group targets raises new challenges for both data association and track maintenance. Due to limited sensor resoluti...
Michael Feldmann, Dietrich Fraenken
SDM
2007
SIAM
98views Data Mining» more  SDM 2007»
15 years 7 months ago
An incremental data-stream sketch using sparse random projections
We propose the use of random projections with a sparse matrix to maintain a sketch of a collection of high-dimensional data-streams that are updated asynchronously. This sketch al...
Aditya Krishna Menon, Gia Vinh Anh Pham, Sanjay Ch...