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The harmful impact of criminalization on social and economic institutions, violence that tends to increase both in the real world and cyberspace as well as growing transnational crime produce the demand for reliable data on the current state and statistical assessment of this phenomenon for comprehensive understanding of the factors contributing to its sustainability. So, intensive international efforts aimed at developing common approaches to confront crime are of paramount importance. It is argued that the problem solution requires the international preventive cooperation for the urgent creation of the UNO-sponsored information resources - a data bank on the crime rates in the world, its separate regions and countries, and the appropriate judiciary activities on the basis of the comparable international classification of crimes for statistical purposes. Having analyzed the international statistical conventions, regulations and our predecessors’ research results, we found out that initially the issue of comparable crime statistics in different countries was referred to as both theoretical and practical. The growing urgency of this problem was acknowledged by the United Nations, and in 1951 the idea to develop a «standard classification of offenses» was put forward. The UNO Social Commission stressed the importance of its preparation, so that «the governments could submit statistical reports on crime within the standard timeframe». The demand for methodological standards such as the international classification of crimes for statistical purposes (the classifier) unanimously recognized by the international community became relevant. With the set invariance of the quantitative component of the statistical method taken into account, the objective (qualitative) component lays a cornerstone for the development of a standard classifier of crimes followed by its practical implementation in the UNO member states. The concluding issues cover the notion of classification both as a core element in the development of the statistical data program that ensures comparability of statistical data, and its properties in relation to the international classification of crimes for statistical purposes, as well as its qualitative features, goals, objectives and principles. Attention is drawn to the fact that the countries are required to consider the same version of the standard classifier for adjusting their national classifications to the draft classifier which is under discussion by the international community. Specific proposals are made to improve the draft classifier taking into account the peculiarities of national criminal law and legal acts that regulate the organization of statistical activities.

In order to accomplish up-to-date tasks, archeology must use one of the recent areas of Artificial Intelligence - «intellectual data analysis» which is a brief and imprecise translation from English of the terms «Data Mining» and «Knowledge Discovery in Databases» (DM & KDD). For several years, the authors have been conducting research on the statistical analysis of data in archeology. In the course of these studies we have developed a coherent application of methods in archeology with the analysis of citation and identification of scientific schools. In the course of the studies we used: the methods of analysis of variance; methods of factor analysis and multidimensional scaling; clustering. With the help of clustering, Data Mining allocates various homogeneous groups of data; a procedure to detect the structure of the table. The article provides specially designed tools for ordering an inhomogeneous archaeological information and identifying its structure. The method of re-sampling with replacement. Comparison of the classifications and forming of a generalized classification. In addition, the article works out the method of forming a generalized consolidated classification, based on an analysis of coincidence of different classifications of the same object.

In the conditions of limitation of investment possibilities there is actual a studying of competitiveness of kinds of economic activities which represents one of the major components of research of relations on a labour market, and also serves as an important reference point for formation of economic policy of region and strategy of business communities. In article authors formulate a technique of an estimation of supply and demand in employment sphere by the economic activities kinds, based on регрессионных models under the panel data, allowed to reveal not only influence of explaining variables on number of the occupied population but also to consider time effects. Such approach allows to define, at what level the factors defining dynamics of structure of employment of region by kinds of economic activities, and, hence, are concentrated the operating influences interfering destructive changes should be concentrated to what level. Approbation of the offered technique has been spent on an example of Republic of Mary El that has allowed to define directions of development of economy of region and to formulate likelihood scenarios of economic development for kinds of activity of various level of competitiveness. Advantage of the offered approach consists in its universality and applicability to an estimation of dynamics and structure of various social and economic indexes and their structures.

Municipalities in the Russian Federation are significantly different in terms of socioeconomic development. Significant disparities in this area lead to problems in the formation of a unified budget, investment policy, planning the development of the economic and social sphere of the region. In order to reduce the level of differentiation in the socioeconomic development of the region’s municipalities it is necessary to solve the problem of financial support of municipalities. The paper proposes a method of determining the influence of socio-economic development of municipalities in the amount of financial support provided to them through the use of regression analysis, and the scheme of distribution of financial support between municipalities, depending on the performance of socio-economic indicators, taking into account the distribution of aid stimulating and leveling parts. This will solve the problem of horizontal and vertical alignment of territories in the region, and make more transparent the process of reallocation of funds within the subject.ertical alignment of territories in the region, and make more transparent the process of reallocation of funds within the subject.

The report is supposed to give a quantitative estimation of the social economic effect connected in its payment and tax and pension contributions in general across Kazakhstan, gender, regional, branch, social (workers, employees) and professional section.

Pension benefits are within the Russian Federation in the form of mandatory and voluntary pension insurance and affect property interests of the entire population. Feature of the organization of this type of insurance is participation in it as insurers - the Pension Fund of the Russian Federation and non-state pension funds (NPF), as well as insurance companies having a license for this type of activity. The article characterizes the structure of pensions according to the forms of insurance and insurers and analyzed its dynamics. The development of certain forms of pension insurance was studied.

Mounting security and compliance demands are pushing businesses to implement accurate identity management in their IT systems. As an interface between the company`s organizational structure and an ERP (Enterprise Resource Planning) system, identity management is subjected to change on both sides. Keeping real-life requirements in line with configured authorizations means responding to these changes. But in reality, very few companies bother to make thorough, real-time adjustments to their systems after implementation - with far-reaching consequences: their concepts become incompatible with their requirements. These kinds of discrepancies reduce the quality of business processes, compromise security and drive up costs - making reality-based identity management based on an extensive usage analysis imperative. Up-to-date ERP systems based on in-memory-databased are gifted with integrated analytic capabilities. These capabilities properly used are the key instrument to align identity management to company needs, providing a transparent, lasting security concept and reduce costs throuth accurate license management. In close cooperation with a formerly aligned authorization concept, the use case even goes beyond: a reality based identity management will be enabled wich can be realized as leading control system - with in-time indicators for business and/or compliance issues - to ensure accurate business activities.

An analytical review of the local government system evolution in Russia is submitted. In terms of the development of integrated information resources within the boundaries of a single right and methodological space shows the need of providing a modern system of local governance quality information. In the framework of the system approach realization the components of the municipal level of management are considered. And such level reflects its role as the most flexible one in the sphere of population interests realization. The need of elaboration of common methodological approaches to the development of information at this level of management taking into consideration the peculiarities of their functioning and taking into account the historical and other local traditions is proved. The analysis was based on the methodology of integrated assessment of the Russian regions development level. It concluded that the municipal level of administration should include the following blocks of information: demographic, economic, infrastructural, legal, medical, cultural, environmental, educational, social. And to have a constant information component for the analysis of dynamics and comparative performance evaluations and variable one for the solution of specific objectives of the municipality.

High school management include processing of large volumes diverse data that accumulate in the form of various, often unrelated, sets. Management problems require the creation of multi-dimensional analysis systems that satisfies specific needs of different users categories and allows to find hidden connections and patterns, detect ways to improve quality of single departments and whole university. Ensuring of diverse information needs possible if will be created multi-agent system, where in each of agents will solve their problems, at the same time working with a common data repository. This article includes analyzes methods of multidimensional data analysis, goals and technology of agents and proposes conceptual model of a multi-agent platform for management of educational process.

The prevailing method to determine the factors of the regression equation is the least squares method (LSM), i.e. the parametric method that requires a number of severe restrictions: independence and normality of the distribution of measurement errors, no correlation of exogenous variable. It is known that even minor violations of these assumptions is dramatically reducing the effectiveness of evaluations. It should be noted the fragility of the LSM estimation procedure under large errors that comes to insolvent evaluation. Finding the autoregression equation factors significantly complicated by the bad conditionality of equations system representing the necessary conditions minimum sum of squares of deviations. The least t modules method (LMM) is alternative to LSM to ensure sustainability of under violation of LSM restrictions. Two options for implementing LMM: weighted LMM (WLMM) and generalized LMM (GLMM) are discussed in the report. Interdependence of WLMM and GLMM established in the work allows GLMM estimation brings to the iterative procedure with WLMM evaluations. The latter are calculated by solving the corresponding linear programming tasks.