Data Mining

Every data mining implementation is unique and for best results needs deep understanding of the mining data and the final goal.

  • Data mining steps:
    • Pre-processing
    • Transformation
    • Model the data
    • Train and test
    • Verification, Evaluation

We use data mining techniques for:

  • automatic analysis of log files, root cause analysis and prediction of failure. Please read more here: Root Cause Analysis
  • Fraud detection for SMS and Calls. Please read more here: Fraud Detection
  • Algorithms design and validation in cooperation with Faculty of Mathematics and Physics in Ljubljana
  • Data mining algorithms, real-time algorithms, prediction analysis, using different platforms