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Along with the development of electronic and intelligence in the world's stock market advances, the accumulation of the stock data grows larger over time. It is of great concern on the ways to find the hidden rules of information in the mass of data. Given the background above, this paper explores the methods of data mining by using the combination of Decision tree algorithm and Clustering algorithm...
This paper presents one of many possibilities of decision theory that can be used in the modelling of the quality of life in a given city in the Czech Republic. Real data sets from citizen questionnaires for the city of Chrudim were analysed, pre-processed, and used in the classification models. Classifier models, on the basis of C5.0, CHAID, C&RT, and C5.0 boosting algorithms were proposed and...
There is a need to design computational methods to support the prediction of gene regulatory networks (GRNs). Such models should offer both biologically meaningful and computationally accurate predictions which, in combination with other techniques, may improve large-scale integrative studies. This paper presents a new machine-learning method for the prediction of putative regulatory associations...
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