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Surface Enhanced Raman Spectroscopy (SERS) is a trace amount substance detecting technique developing quickly in recent years. In this paper, the saliva SERS spectrum of 59 lung cancer patients and 18 normal people were measured, and analyzed with data mining technology and the traditional statistical classification methods. The data were established by the Support Vector Machine (SVM), Random Forests...
Mass spectrometry is a powerful tool in chemistry research. A primary aim of data mining in chemistry is to try to obtain useful information from chemistry databases, and then classify the compounds using the useful samples features. Suffering from the traits of high dimension, and small sample in mass spectrometry data, in order to create models, it will be first to provide useful features which...
Hyperspectral imaging technology has been applied in histology and cytology for a long time. Image quality and spectra are usually affected by light source, optics and sensors in hyperspectral imaging systems. This paper proposes a continuum removal algorithm and radiometric correction preprocessing method to eliminate these influences. The algorithm removes the continuum of image after the spectra...
Community detection is an important research issue in complex network mining. In this paper, firstly, we define central nodes, called Extended Local Max-Degree (ELMD) nodes in a complex network. All the central nodes are used for the community expanding. We also prove that ELMD method is more precise and dispersed than local max-degree method in the real datasets. Secondly, we propose an improved...
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