Analysis of Data


  [1] We analyze data records from files and databases to find associations of different fields by means of fuzzy data mining. This yields rules such as

if [(A is P) and (B is Q)] then (C is R)                        

where each condition, e.g., (U is V) has a truth value from 0.0 to 1.0 and the rule has a confidence level from 0.0 to 1.0.

  [2] We display graphs of records to show their general shapes that visually provide intuition about the classes and types of records.

  [3] We analyze trends of particular data fields over time and remove various types of errors.

  [4] We classify data into groups/classes/types for data reduction and representation. We determine signatures for events, types, and classes, which can include spectra and chemical composition as well as patterns of activity and behavior.

  [5] We analyze data for consistency to find questionable data entries.

  [6] We analyze to determine the most important fields and strengths of their influences and correlations.

  [7] We develop software with friendly user interfaces for various applications.

  [8] We have our software developed in-house for machine learning and pattern recognition.


Do you have special reqirements? Ask us to see if we can do it!