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» On the Automatic Extraction of Data from the Hidden Web
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KDD
2005
ACM
139views Data Mining» more  KDD 2005»
14 years 2 months ago
Learning to predict train wheel failures
This paper describes a successful but challenging application of data mining in the railway industry. The objective is to optimize maintenance and operation of trains through prog...
Chunsheng Yang, Sylvain Létourneau
NAR
2011
227views Computer Vision» more  NAR 2011»
12 years 11 months ago
CADgene: a comprehensive database for coronary artery disease genes
Coronary artery disease (CAD) is a complex, multifactorial disease and a leading cause of mortality world wide. Over the past decades, great efforts have been made to elucidate th...
Hui Liu, Wei Liu, Yifang Liao, Long Cheng, Qian Li...
ICAC
2005
IEEE
14 years 2 months ago
Multi-resolution Abnormal Trace Detection Using Varied-length N-grams and Automata
Detection and diagnosis of faults in a large-scale distributed system is a formidable task. Interest in monitoring and using traces of user requests for fault detection has been o...
Guofei Jiang, Haifeng Chen, Cristian Ungureanu, Ke...
PKDD
2009
Springer
103views Data Mining» more  PKDD 2009»
14 years 3 months ago
Kernels for Periodic Time Series Arising in Astronomy
Abstract. We present a method for applying machine learning algorithms to the automatic classification of astronomy star surveys using time series of star brightness. Currently su...
Gabriel Wachman, Roni Khardon, Pavlos Protopapas, ...
ICPR
2010
IEEE
14 years 22 days ago
Improving Undersampled MRI Reconstruction Using Non-Local Means
Obtaining high quality images in MR is desirable not only for accurate visual assessment but also for automatic processing to extract clinically relevant parameters. Filtering-bas...
Ganesh Adluru, Tolga Tasdizen, Ross Whitaker, Edwa...