The report implements a vision of intelligent data processing task and
elaboration of the efficiency evaluation using data envelopment analysis in
discussions on the problem investigations of advanced technology precursors.
Data processing aspect of a collaboration of intellectual processes from the
standpoint of pervasive informatics is presented. The target setting corresponds to
an initiative focused on a comprehensive discussion of geosocial networking
formation issues and assessment of the quality of intelligent data processing based
on conceptual models of integration advanced technology of computer vision and
location-based social networks, and innovative potential of distributed computer
vision and collaborative innovation network. The representations of hybrid
optimization modeling and control of intelligent transport systems are of interest
in the modern conditions of rapid development of artificial neural networks,
cognitive and other intelligent data processing technologies. In this regard,
interdisciplinary research is directly aimed at the implementation of effective
commons-based peer production of the geosocial networking in the transition to
digital, intelligent production technologies, new materials, by creating original
tools of data envelopment analysis (free disposal hull) for search, collection,
storage and processing of pertinent information resources, in particular together
object-based image analysis. A convergence of professional, scientific and
educational network communities and prerequisites for its implementation at
research activities are discussed. Primarily, the short description of data
envelopment analysis is presented and followed by the overview of integration
components which use the distributed computer and telecommunication networks.
Hereinafter, we investigate the opportunities of intelligent data processing in
object-based image analysis for location-based social networks. Presented hybrid
optimization modeling framework is used at experimental studies.