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