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DMIN
2006
124views Data Mining» more  DMIN 2006»
13 years 10 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
DMIN
2006
126views Data Mining» more  DMIN 2006»
13 years 10 months ago
Comparison and Analysis of Mutation-based Evolutionary Algorithms for ANN Parameters Optimization
Mutation-based Evolutionary Algorithms, also known as Evolutionary Programming (EP) are commonly applied to Artificial Neural Networks (ANN) parameters optimization. This paper pre...
Kristina Davoian, Alexander Reichel, Wolfram-Manfr...
DMIN
2006
111views Data Mining» more  DMIN 2006»
13 years 10 months ago
Profiling and Clustering Internet Hosts
Identifying groups of Internet hosts with a similar behavior is very useful for many applications of Internet security control, such as DDoS defense, worm and virus detection, dete...
Songjie Wei, Jelena Mirkovic, Ezra Kissel
DMIN
2006
146views Data Mining» more  DMIN 2006»
13 years 10 months ago
A Comparison of Two Document Clustering Approaches for Clustering Medical Documents
Medical data is often presented as free text in the form of medical reports. Such documents contain important information about patients, disease progression and management, but ar...
Fathi H. Saad, Beatriz de la Iglesia, Duncan G. Be...
DMIN
2006
131views Data Mining» more  DMIN 2006»
13 years 10 months ago
Use of Data Mining to Determine Cheating in Online Student Assessment
are proposing a model to help organizations detect and prevent cheats in online assessments. First we analyze different student personalities, stress situations generated by onlin...
Alberto Ochoa, Amol Wagholikar
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