Abstract-Professional social networking sites are widely used as a tool for obtaining specific information such as technology trends and professional skills demand. The article is aimed to consider the evolution of services for professional communities through integration of analysis of the patent activity, analysis of the academic research activity and analysis of the labour market trends. Authors have developed the prototype of a predictive learning software service which intended to fill the gap between professional social networking sites and e-learning systems, including massive open online course systems. It includes functionality for monitoring of professional skills demand on the labour market and analysis of patents for each corresponding technology. The software service will help to determine demand for professional skills, to actualise an applicant's skillset, to organise professional communities and to build individual learning programs for studying of skills and technologies which are predicted to grow in demand on the labour market.

Abstract. This paper is discussing the applicability of cluster analysis techniques to studying bias in the selection process of government SMB subsidy recipients using data from Moscow city SMB administration. Ward's Hierarchical Agglomerative Clustering Method is used to study 812 SMBs, which received subsidies in 2012-2013 from the Moscow City SMB administration. This analysis strongly demonstrates that clustering mechanisms can be used to reduce selection irregularities in government subsidy distribution.

Abstract. Predictive learning services perform aggregation and homogenization of open data from public sources, in particular from the online recruitment agencies. However, the sample of vacancies may contain various percentage of noise due to the frequent occurrence of homonyms. This article will consider two approaches of noise reduction: the first one is based on the cosine similarity and the second one is based on the contextual words.