Big Data

  • Hadoop, HDFS, MapReduce, queries
  • R, RandomForest, Cluster Computing, RevolutionR
  • Python, NumPy, SciPy, Pandas
  • Mahout
  • Cassandra DB, Mongo DB
  • Visualization: D3.
  • Data processing in private cloud (more than 100 nodes of 8GbRAM, 10Tb+ HDD)

Data Mining

  • knowledge discovery
  • classification
  • cluster analysis
  • regression
  • selection informative feature set
  • pattern recognition
  • building decision rules
  • adaptive approach
  • machine learning
  • FRiS-methodology


Knowledge engineering

  • Business process modeling, reengineering, ARIS methodology (our specialists teaches students in Novosibirsk National Research State University), EPC, VAC
  • Experts knowledge structuring, knowledge engineering (mind-maps, diagrams, working with experts of domain)
  • Building mathematical models
  • Predictive analytics
  • All stages of CRISP-DM:



Operations Research

  • optimization and simulation algorithms
  • linear and nonlinear programming
  • analytic tools: GAMS, CPLEX, etc.