Intellectual Analysis of Data

Intellectual Analysis of Data 

  • Processing, analysis, and interpretation of telemetric parameters on the basis of intellectual analysis of data;
  • Design of automated training systems based on expert systems for processing and analysis of telemetric information;
  • Development of data mining techniques for on-line and off-line data and signal processing;
  • Development of new technologies for knowledge extraction;
  • Development of new techniques for constructing intellectual agents of real-time;
  • Development of ontological approaches to information system design;
  • Development of multi-agent technologies of data analysis and knowledge extraction;
  • Development of adaptive system models using neural networks and fuzzy logic;
  • Development of information representation algorithms in the form of a fuzzy adaptive distributed information field.

Software for Intellectual Analysis of Data 

  • Software for data analysis and knowledge extraction;
  • Software for designing digital signal processing algorithms;
  • Software for early diagnostics of diseases;
  • Software for environment control (on-line control of air and water pollution);
  • Software for automated fabric production;
  • Software for railway transport security (analysis of railway line condition);
  • Software for multi-agent system of data analysis;
  • Software for real-time agent systems;
  • Problem-oriented systems of information processing in immuno and biotechnologies.

Intellectual Analysis of Data 

  • Intellectual techniques of processing data that characterizes functioning of complex dynamic objects;
  • Intellectual techniques of speech signal processing;
  • Intellectual techniques of measurement data processing;
  • Development of new data mining algorithms (segmentation, clustering, classification, one-dimensional and multidimensional sequential analysis, mining association rules);
  • Development of process mining and visual mining algorithms;

 

  • Application of data mining algorithms for characterizing complex dynamic object functioning
    • discovery of abnormal functioning modes;
    • technical diagnosis;
  • Speech processing and speech recognition
    • speaker recognition by voice (hidden Markov models, mixtures of Gaussian distributions, intellectual analysis of speech data);
    • development of voice search system; 
    • estimation of voice variation;