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The increase of transferred information amounts brings the need to create new automated systems for data recognition, classification and routing. It is impossible to solve such problems without modern machine learning technologies and artificial intelligence technologies. An algorithm that takes into account the linguistic and syntactic properties of documents, the characteristics of the subject area is formulated on the basis of the system approach to the analysis and decomposition of the task of document routing...

The gamma-ray logging method is one of the mandatory well logging methods for geophysical exploration of wells. However, during the conduct of such a study, the sensor, for one reason or another, may stop recording observations in the well. If a small number of values are missing, you can restore these values using standard methods to fill in gaps like in time series. If data miss a large number of values, observations usually are made again, which leads to additional financial costs. This work proposes an alterna...

Machine learning covers a wide set of supervised and unsupervised algorithms for solving prediction, classification and anomaly detection problems. One of the areas of their applications is for customer churn prediction. To build a model for predicting the switching of customers, data scientists use different demographics, social, transactional, behavioural metrics and features. At the same time, most of the small Bulgarian companies still don?t have the needed versatile and complete customer data. They rely mainl...