Подход к заполнению пропусков в обучающих выборках для компьютерного конструирования неорганических соединений
The article is devoted to questions of accumulated data usage to find out regularities by means of pattern recognition methods that allow predicting formation of not synthesized substances and estimating its properties. The formal task of computer-aided inorganic compounds design is stated. An approach to reproduce of missing data in learning samples for computer-aided inorganic compounds design is proposed. It is based on combination of linear regression and interpolation taking into consideration the problem domain - inorganic chemistry. The approach is more powerful than methods of missed data reproduction used currently in information-analytical system for inorganic compounds design running at IMET RAS.
The paper analyzes the key determinants of real estate prices in Perm, with special attention to transport accessibility indicators. The issue of transport accessibility modeling is discussed. The valuation of price hedonic model revealed that housing prices in Perm are affected mostly by the area of the apartment, the fact of its location on the first floor, number of public transport routes in the district, and time to the city centre
The importance of patient wait-time management and predictability can hardly be overestimated: For most hospitals, it is the patient queues that drive and define every bit of clinical workflow. The objective of this work was to study the predictability of patient wait time and identify its most influential predictors.
To solve this problem, we developed a comprehensive list of 25 wait-related parameters, suggested in earlier work and observed in our own experiments. All parameters were chosen as derivable from a typical Hospital Information System dataset. The parameters were fed into several time-predicting models, and the best parameter subsets, discovered through exhaustive model search, were applied to a large sample of actual patient wait data.
We were able to discover the most efficient wait-time prediction factors and models, such as the line-size models introduced in this work. Moreover, these models proved to be equally accurate and computationally efficient. Finally, the selected models were implemented in our patient waiting areas, displaying predicted wait times on the monitors located at the front desks. The limitations of these models are also discussed.
Optimal regression models based on wait-line sizes can provide accurate and efficient predictions for patient wait time.
The article examines the literature, which determinates the factors affecting Gross Regional Product as well as broadens the analysis to different regions of the Russian Federation. The regressions modeling and cluster analysis is used for the issue. Two linear regression models are constructed based on the indicators of the Federal Statistics Survey databases for the year 2015 as well as the index of readiness of regions of Russia for the information society (ICT) is used. After the estimation the two clusters based on the values of sub-indexes were found, presenting the typical and atypical behavior towards values of sub-indexes.
Authors investigate forming of transfer fee of professional football players. They analyze influence on its value factors, which define «human capital» of athlete, such as age, professional achievements and «level of publicity», i.e. his ability to attract spectators’ attention. It have been determined that strength of influence of professional achievements diminishes with age and taking into account «level of publicity» significantly rise quality of transfer fee modeling.
Let X be a semimartingale which is locally square integrable and admitting the canonical decompositions X=M+A and X=M ' +A ' with respect to measures P and P ' . Let γ be the density of A-A ' with respect to C=(〈M〉+〈M ' 〉) in the Lebesgue decomposition. Then there is a version h of the Hellinger process h(1/2;P,P ' ) such that (1-Δh) -2 ·h⪰(1/8)γ 2 ·C P- and P ' -a.s. This inequality is related with a generalization of the Cramér-Rao inequality to the case of filtered space. The author gives some applications to a continuous-time linear regression model as well as to a discrete-time autoregression model with martingale errors.
A complex model of forecasting the cost of residential real estate in the secondary market, including three submodels – a model of forecasting the level of population needs for housing based on regional data, a model of forecasting the comfort of housing based on local data, and a model of forecasting the cost of a unit of residential real estate based on the factors of the object and input variables that are the results of the forecast of previous models.
A model for organizing cargo transportation between two node stations connected by a railway line which contains a certain number of intermediate stations is considered. The movement of cargo is in one direction. Such a situation may occur, for example, if one of the node stations is located in a region which produce raw material for manufacturing industry located in another region, and there is another node station. The organization of freight traﬃc is performed by means of a number of technologies. These technologies determine the rules for taking on cargo at the initial node station, the rules of interaction between neighboring stations, as well as the rule of distribution of cargo to the ﬁnal node stations. The process of cargo transportation is followed by the set rule of control. For such a model, one must determine possible modes of cargo transportation and describe their properties. This model is described by a ﬁnite-dimensional system of diﬀerential equations with nonlocal linear restrictions. The class of the solution satisfying nonlocal linear restrictions is extremely narrow. It results in the need for the “correct” extension of solutions of a system of diﬀerential equations to a class of quasi-solutions having the distinctive feature of gaps in a countable number of points. It was possible numerically using the Runge–Kutta method of the fourth order to build these quasi-solutions and determine their rate of growth. Let us note that in the technical plan the main complexity consisted in obtaining quasi-solutions satisfying the nonlocal linear restrictions. Furthermore, we investigated the dependence of quasi-solutions and, in particular, sizes of gaps (jumps) of solutions on a number of parameters of the model characterizing a rule of control, technologies for transportation of cargo and intensity of giving of cargo on a node station.
Event logs collected by modern information and technical systems usually contain enough data for automated process models discovery. A variety of algorithms was developed for process models discovery, conformance checking, log to model alignment, comparison of process models, etc., nevertheless a quick analysis of ad-hoc selected parts of a journal still have not get a full-fledged implementation. This paper describes an ROLAP-based method of multidimensional event logs storage for process mining. The result of the analysis of the journal is visualized as directed graph representing the union of all possible event sequences, ranked by their occurrence probability. Our implementation allows the analyst to discover process models for sublogs defined by ad-hoc selection of criteria and value of occurrence probability
The geographic information system (GIS) is based on the first and only Russian Imperial Census of 1897 and the First All-Union Census of the Soviet Union of 1926. The GIS features vector data (shapefiles) of allprovinces of the two states. For the 1897 census, there is information about linguistic, religious, and social estate groups. The part based on the 1926 census features nationality. Both shapefiles include information on gender, rural and urban population. The GIS allows for producing any necessary maps for individual studies of the period which require the administrative boundaries and demographic information.
Existing approaches suggest that IT strategy should be a reflection of business strategy. However, actually organisations do not often follow business strategy even if it is formally declared. In these conditions, IT strategy can be viewed not as a plan, but as an organisational shared view on the role of information systems. This approach generally reflects only a top-down perspective of IT strategy. So, it can be supplemented by a strategic behaviour pattern (i.e., more or less standard response to a changes that is formed as result of previous experience) to implement bottom-up approach. Two components that can help to establish effective reaction regarding new initiatives in IT are proposed here: model of IT-related decision making, and efficiency measurement metric to estimate maturity of business processes and appropriate IT. Usage of proposed tools is demonstrated in practical cases.