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To solve the contradiction between massive network information and limited learning needs, personalized recommendation service becomes the hotspot in research area. User characteristics analysis is the key point in personalized recommendation service. Based on the massive web access log in the web server, this research gradually puts forward the steps of user characteristics analysis which including...
Nowadays, more and more DNA sequences are stored in databases of NCBI and other organizations. Based on these databases, much research has been conducted. Once tampered, the research results will be useless and even lead to disastrous consequences. It is significant to protect the integrity of the DNA sequences. This paper proposes a fast tamper location method of batch DNA sequences based on reversible...
Chronic obstructive pulmonary disease (COPD) is a complex disorder classified as the 3rd cause of the death worldwide. So far, we know that this disease is progressive and can not be cured. In recent years, although some genes have been reported to be associated with COPD, the overlapped genetic associations can't be replicated. Therefore, it is difficult to synthesize and interpret these different...
This work shows a detailed description of the kNN method when using it for breast cancer diagnosis. We show the relation of the number of neighbors to the accuracy and also the change of accuracy with the change of the percentage of the data used for diagnosis. We also show details about the variation of the maximum and minimum values of the accuracy with the percentage of data used for diagnosis...
This work presents an automatic motion artifact detection algorithm for photoplethysmographic (PPG) signals with synchronized electrocardiography (ECG) data. 18 features from time and frequency domain were extracted and used in a support vector machine (SVM) for automatic classification. The performance achieved by this method (SE: 87.5%, SP: 85.5% and CR: 86.8%) proves that the information extracted...
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...
We adopt an ontology-driven information system design for research purposes. It is adaptable and extensible solution in the situation where the main features are the lack of a stable data model and changing and varying requests. We use ontology-driven design primarily as a collaboration tool for the research. Members directly collaborate and use this information system to ease them tasks with management...
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