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With aim of reducing the incidence of false critical arrhythmia alarms in intensive care units, a novel data fusion and machine learning algorithm is presented in this article. The 2015 PhysioNet/Computing in Cardiology Challenge database was used in this present algorithm, with each grouped as an asystole (AS), extreme bradycardia (EB), extreme tachycardia (ET), ventricular tachycardia (VT) or ventricular...
For feature subset optimization problems in text categorization, the GATS strategy which combines the genetic algorithm with taboo search algorithm is proposed in this paper to be applied to text categorization to realize the dimensionality reduction of the feature space. The experiments show that the application of this method to select the characteristics of the text can not only maintain the advantages...
Text classification has received extensive attention in recent years, which is an important means of data mining. This paper analyzed basic theory and general structure of text classification, given a text classification method based on improved genetic algorithms, introduced simulated annealing mechanism of genetic algorithm to solve the precocious easy, local optimum, and so on, using the Roocchio...
Along with the development of the Internet, how to manage and control network information resources effectively has become a hot research. In this paper, we discussed key technologies of network information filtering: feature selection and learning algorithm. Based on feature subset generated by feature selection would affect the filtering accuracy, we proposed an improved feature selection method...
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