Sampling and Analyzing Statistical Data to Predict the Performance of MOOC

2019 ◽  
pp. 77-85
Author(s):  
Lubov S. Lisitsyna ◽  
Svyatoslav A. Oreshin
Keyword(s):  
Statistical Data

Knowledge-Based Decision Support for Diagnosis and Therapy: On the Multiple Usability of Patient Data

1989 ◽  
Vol 28 (02) ◽  
pp. 69-77 ◽  
Author(s):  
R. Haux
Keyword(s):  
Expert Systems ◽  
Statistical Data ◽  
Patient Data ◽  
Attribute Selection ◽  
Patient Specific ◽  
Statistical Data Analysis ◽  
Inference Mechanism ◽  
Diagnosis And Therapy ◽  
Knowledge Based ◽  
Clinical Registries

Abstract:Expert systems in medicine are frequently restricted to assisting the physician to derive a patient-specific diagnosis and therapy proposal. In many cases, however, there is a clinical need to use these patient data for other purposes as well. The intention of this paper is to show how and to what extent patient data in expert systems can additionally be used to create clinical registries and for statistical data analysis. At first, the pitfalls of goal-oriented mechanisms for the multiple usability of data are shown by means of an example. Then a data acquisition and inference mechanism is proposed, which includes a procedure for controlling selection bias, the so-called knowledge-based attribute selection. The functional view and the architectural view of expert systems suitable for the multiple usability of patient data is outlined in general and then by means of an application example. Finally, the ideas presented are discussed and compared with related approaches.

Confidentiality of Statistical Records: A Threat-Monitoring Scheme for On Line Dialogue

1976 ◽  
Vol 15 (01) ◽  
pp. 36-42 ◽  
Author(s):  
J. Schlörer
Keyword(s):  
Statistical Data ◽  
Cost Benefit ◽  
Data Bank ◽  
High Ratio ◽  
Point Of View ◽  
Data Sets ◽  
Monitoring Scheme ◽  
Access Controls ◽  
On Line ◽  
Bona Fide

From a statistical data bank containing only anonymous records, the records sometimes may be identified and then retrieved, as personal records, by on line dialogue. The risk mainly applies to statistical data sets representing populations, or samples with a high ratio n/N. On the other hand, access controls are unsatisfactory as a general means of protection for statistical data banks, which should be open to large user communities. A threat monitoring scheme is proposed, which will largely block the techniques for retrieval of complete records. If combined with additional measures (e.g., slight modifications of output), it may be expected to render, from a cost-benefit point of view, intrusion attempts by dialogue valueless, if not absolutely impossible. The bona fide user has to pay by some loss of information, but considerable flexibility in evaluation is retained. The proposal of controlled classification included in the scheme may also be useful for off line dialogue systems.

Russian Oil: Production and Exports

2003 ◽  
pp. 136-146
Author(s):  
K. Liuhto
Keyword(s):  
Baltic Sea ◽  
Statistical Data ◽  
Oil Production ◽  
The Baltic Sea ◽  
North West ◽  
The North ◽  
Oil Transportation ◽  
Sea Ports ◽  
The Baltic

Statistical data on reserves, production and exports of Russian oil are provided in the article. The author pays special attention to the expansion of opportunities of sea oil transportation by construction of new oil terminals in the North-West of the country and first of all the largest terminal in Murmansk. In his opinion, one of the main problems in this sphere is prevention of ecological accidents in the process of oil transportation through the Baltic sea ports.

Through the prism of Spain. Socio-economic causes of different outcomes of Russian and Spanish civil wars

2017 ◽  
pp. 142-155
Author(s):  
I. Rozinskiy ◽  
N. Rozinskaya
Keyword(s):  
Civil War ◽  
World War I ◽  
Civil Wars ◽  
Spanish Civil War ◽  
Statistical Data ◽  
Well Being ◽  
Russian Civil War ◽  
World War ◽  
Common Features ◽  
Economic Well Being

The article examines the socio-economic causes of the outcome of the Spanish Civil War (1936-1936), which, as opposed to the Russian Civil War, resulted in the victory of the “Whites”. Choice of Spain as the object of comparison with Russia is justified not only by similarity of civil wars occurred in the two countries in the XX century, but also by a large number of common features in their history. Based on statistical data on the changes in economic well-being of different strata of Spanish population during several decades before the civil war, the authors formulate the hypothesis according to which the increase of real incomes of Spaniards engaged in agriculture is “responsible” for their conservative political sympathies. As a result, contrary to the situation in Russia, where the peasantry did not support the Whites, in Spain the peasants’ position predetermined the outcome of the confrontation resulting in the victory of the Spanish analogue of the Whites. According to the authors, the possibility of stable increase of Spanish peasants’ incomes was caused by the nation’s non-involvement in World War I and also by more limited, compared to Russia and some other countries, spending on creation of heavy (primarily military-related) industry in Spain.

Small Industry, Gimmicks and Moscow Statistics, or How the Small Russian Enterprise Came into the World (Russian Physiological Sketch, 1830-1840)

2009 ◽  
pp. 123-129
Author(s):  
Yu. Golubitsky
Keyword(s):  
Small Businesses ◽  
Statistical Data ◽  
Russian Enterprise ◽  
Small Enterprises ◽  
Business Practices ◽  
Way Of Life ◽  
The World ◽  
Small Industry ◽  
Xix Century

The article considers business practices of Moscow small industry in the XIX century, basing upon physiological sketches of N. Polevoy and I. Kokorev, statistical data and the classification of professions are also presented. The author claims that the heroes of the analyzed sketches are the forefathers of Moscow small businesses and shows what a deep similarity their occupations and a way of life bear to the present-day routine existence of small enterprises.

Budgeting in Socio-economic Development Strategies (Raising a Problem)

2008 ◽  
pp. 134-151
Author(s):  
A. Shastitko ◽  
M. Ovchinnikov
Keyword(s):  
Economic Policy ◽  
Economic Development ◽  
Social Change ◽  
Eastern Europe ◽  
Statistical Data ◽  
Sufficient Conditions ◽  
Transitional Period ◽  
Socio Economic Development ◽  
Necessary And Sufficient ◽  
Economic Development Strategies

The article proposes an approach to the analysis of social change and contributes to the clarification of concepts of economic policy. It deals in particular with the notion of "change of system". The author considers positive and normative aspects of the analysis of capitalist and socialist systems. The necessary and sufficient conditions for the system to be changed are introduced, their fulfillment is discussed drawing upon the historical and statistical data. The article describes both economic and political peculiarities of the transitional period in different countries, especially in Eastern Europe.

Market of Insurance in Russia: Major Tendencies and Problems of Development

2006 ◽  
pp. 115-127
Author(s):  
T Natkhov
Keyword(s):  
Data Analysis ◽  
Statistical Data ◽  
Statistical Data Analysis ◽  
Medium Term ◽  
Insurance Sector ◽  
Different Types ◽  
Basic Characteristics

The article considers recent tendencies in the development of the market of insurance in Russia. On the basis of statistical data analysis the most urgent problems of the insurance sector are formulated. Basic characteristics of different types of insurance are revealed, and measures on perfection of the insurance institution in the medium term are proposed.

Statistical analysis of distribution, dynamics and etiological structure of bovine diseases in Vologda region

2020 ◽  
pp. 3-4
Author(s):  
Oksana B. Badeeva ◽  
Keyword(s):  
Respiratory Diseases ◽  
Birth Rate ◽  
Statistical Data ◽  
Delayed Diagnosis ◽  
Specific Weight ◽  
Gastrointestinal Diseases ◽  
Vologda Region ◽  
High Incidence ◽  
Young Cattle ◽  
High Level

Statistical data of livestock for 30 years is reflected in the article. Author used the materials of the state veterinary reporting. A comparative analysis of the number, incidence and death rate of adult animals and young cattle for two five-year periods (2001-2005 and 2014-2018). the data of the analysis of veterinary statistical reports for 2018 on the specific weight of the large horned cattle and age dynamics of calves in farms of the Vologda region are shown. A significant decrease in livestock of the large horned cattle by 56.3% (from 1990 to 2018) is shown in the analysis of the data. Over the five years 2014-2018, there was a decrease in the number of the large horned cattle by 31.3%, the birth rate of calves - by 26.2%, and the incidence of calves - by 12.3% and the mortality rate decreased by 3.3%. Despite the decline in the number of livestock, in 2018 there is a high incidence of animal diseases (49.6%). The highest incidence rate was observed among calves under 10 days of age 43.3%, 31.7% - from 11 to 30 days, 15.8% - from one to three months, 6.5% - from three to six months and 2.7% - from 6 to 12 months. Of the total number of sick calves in 2018, 63.2% had gastrointestinal diseases, and death for this reason is 49.6% of the total number of victims. Respiratory diseases affect 21.8% of young animals, and death due to respiratory diseases is 18.2%. Analysis of statistical data showed that, despite the complex of veterinary and sanitary measures, the incidence and death of calves remain at a high level. This can be explained by delayed diagnosis and low therapeutic effectiveness in gastrointestinal and respiratory diseases of cattle.

SCORING MODELING BASED ON NEURAL NETWORKS FOR DETERMINING A BANK BORROWER'S RATING

2020 ◽  
Vol 2020 (10) ◽  
pp. 54-62
Author(s):  
Oleksii VASYLIEV ◽  
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Network Architecture ◽  
Statistical Data ◽  
Activation Function ◽  
Decision Making Process ◽  
Neural Network Architecture ◽  
Acceptable Accuracy ◽  
The Neural Network ◽  
Sigmoid Activation Function

The problem of applying neural networks to calculate ratings used in banking in the decision-making process on granting or not granting loans to borrowers is considered. The task is to determine the rating function of the borrower based on a set of statistical data on the effectiveness of loans provided by the bank. When constructing a regression model to calculate the rating function, it is necessary to know its general form. If so, the task is to calculate the parameters that are included in the expression for the rating function. In contrast to this approach, in the case of using neural networks, there is no need to specify the general form for the rating function. Instead, certain neural network architecture is chosen and parameters are calculated for it on the basis of statistical data. Importantly, the same neural network architecture can be used to process different sets of statistical data. The disadvantages of using neural networks include the need to calculate a large number of parameters. There is also no universal algorithm that would determine the optimal neural network architecture. As an example of the use of neural networks to determine the borrower's rating, a model system is considered, in which the borrower's rating is determined by a known non-analytical rating function. A neural network with two inner layers, which contain, respectively, three and two neurons and have a sigmoid activation function, is used for modeling. It is shown that the use of the neural network allows restoring the borrower's rating function with quite acceptable accuracy.

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