Формальный метод пополнения словарей морфологического анализа с использованием несловарной лексики
The mass application of mobile cardiographs already leads to both explosive quantitative growth of the number of patients available for ECG study, registered daily outside the hospital (Big DATA in cardiology), and to the emergence of new qualitative opportunities for the study of long-term oscillatory processes (weeks, months, years) of the dynamics of the individual state of the Cardiovascular system of any patient.
The article demonstrates that new opportunities of long - term continuous monitoring of the Cardiov ascular system state of patients ' mass allow to reveal the regularities (DATA MINING) of Cardiovascular system dynamics, leading to the hypothesis of the existence of an adequate Cardiovascular system model as a distributed nonlinearself - oscillating system of the FPU recurrence model class . The presence of a meaningful mathematical model of Cardiovascular system within the framework of the FPU auto – recurrence , as a refinement of the traditional model of studying black box, further allows us to offer new computational methods for ECG analysis and prediction of Cardiovascular system dynamics for a refined diagnosis and evaluation of the effectiveness of the treatment.
In this paper we discuss the first results obtained during the testing of school digital transformation monitoring, which has been developed and implemented by the Institute of Education, Higher School of Economics, for Federal State Autonomous Institution “Fund for New Forms of Education Development” in the interests of the Ministry of Education of Russian Federation. We present a clustering-based tool, that helps to highlight the specifics of digital transformation in different groups of schools (clusters). It is shown that processes of digital transformation can vary significantly. We conclude that there is a need for further elaboration of the approach presented within the next stages of monitoring digital transformation, planned for 2020–2021.
A vast amount of documents in the Web have duplicates, which is a challenge for developing efficient methods that would compute clusters of similar documents. In this paper we use an approach based on computing (closed) sets of attributes having large support (large extent) as clusters of similar documents. The method is tested in a series of computer experiments on large public collections of web documents and compared to other established methods and software, such as biclustering, on same datasets. Practical efficiency of different algorithms for computing frequent closed sets of attributes is compared.
Presentation of possibilities of the new for the humanities method of analyzing dynamics going into digital ranges - wavelet analysis method that, unlike traditional methods, does not constrain digital range mathematical characteristics strictly and also allows finding unobvious processes and natural laws is the aim of this work.
This volume presents new results in the study and optimization of information transmission models in telecommunication networks using different approaches, mainly based on theiries of queueing systems and queueing networks .
The paper provides a number of proposed draft operational guidelines for technology measurement and includes a number of tentative technology definitions to be used for statistical purposes, principles for identification and classification of potentially growing technology areas, suggestions on the survey strategies and indicators. These are the key components of an internationally harmonized framework for collecting and interpreting technology data that would need to be further developed through a broader consultation process. A summary of definitions of technology already available in OECD manuals and the stocktaking results are provided in the Annex section.