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SDM
2012
SIAM
245views Data Mining» more  SDM 2012»
13 years 8 months ago
Deterministic CUR for Improved Large-Scale Data Analysis: An Empirical Study
Low-rank approximations which are computed from selected rows and columns of a given data matrix have attracted considerable attention lately. They have been proposed as an altern...
Christian Thurau, Kristian Kersting, Christian Bau...
DMIN
2006
124views Data Mining» more  DMIN 2006»
15 years 7 months ago
Use of Multivariate Data Analysis for Lumber Drying Process Monitoring and Fault Detection
Process monitoring refers to the task of detecting abnormal process operations resulting from the shift in the mean and/or the variance of one or more process variables. To success...
Mouloud Amazouz, Radu Pantea
VLDB
2002
ACM
120views Database» more  VLDB 2002»
15 years 6 months ago
Improving Data Access of J2EE Applications by Exploiting Asynchronous Messaging and Caching Services
The J2EE platform provides a variety of options for making business data persistent using DBMS technology. However, the integration with existing backend database systems has prov...
Samuel Kounev, Alejandro P. Buchmann
TWC
2010
15 years 1 months ago
Efficient Measurement Generation and Pervasive Sparsity for Compressive Data Gathering
We proposed compressive data gathering (CDG) that leverages compressive sampling (CS) principle to efficiently reduce communication cost and prolong network lifetime for large scal...
Chong Luo, Feng Wu, Jun Sun, Chang Wen Chen
CSB
2004
IEEE
164views Bioinformatics» more  CSB 2004»
15 years 10 months ago
Biclustering in Gene Expression Data by Tendency
The advent of DNA microarray technologies has revolutionized the experimental study of gene expression. Clustering is the most popular approach of analyzing gene expression data a...
Jinze Liu, Jiong Yang, Wei Wang 0010