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DMIN
2006
124views Data Mining» more  DMIN 2006»
13 years 9 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
FPGA
2006
ACM
156views FPGA» more  FPGA 2006»
13 years 11 months ago
A reconfigurable architecture for network intrusion detection using principal component analysis
In this paper, we develop an architecture for principal component analysis (PCA) to be used as an outlier detection method for high-speed network intrusion detection systems (NIDS...
David T. Nguyen, Gokhan Memik, Alok N. Choudhary
EPIA
2005
Springer
14 years 1 months ago
Monitoring the Quality of Meta-data in Web Portals Using Statistics, Visualization and Data Mining
We propose a methodology to monitor the quality of the meta-data used to describe content in web portals. It is based on the analysis of the meta-data using statistics, visualizati...
Carlos Soares, Alípio Mário Jorge, M...
BMCBI
2006
148views more  BMCBI 2006»
13 years 7 months ago
Exploiting the full power of temporal gene expression profiling through a new statistical test: Application to the analysis of m
Background: The identification of biologically interesting genes in a temporal expression profiling dataset is challenging and complicated by high levels of experimental noise. Mo...
Veronica Vinciotti, Xiaohui Liu, Rolf Turk, Emile ...
BMCBI
2010
86views more  BMCBI 2010»
13 years 7 months ago
Fast motif recognition via application of statistical thresholds
Background: Improving the accuracy and efficiency of motif recognition is an important computational challenge that has application to detecting transcription factor binding sites...
Christina Boucher, James King