Data mining has many aspects, some of them discussed in other technology areas such as time series analysis. Here we concentrate on non-time series data. Our data mining methods evolve around advanced clustering, which enables us to see the behavior of groups of data elements and in this way identify data elements which deviate from their corresponding group.
This concept is can be used in many applications, such as marketing, where one concentrates on the properties of the group.
It can also be used in cyber security applications, where the parameters of the group help identify threats which deviate from their corresponding group behavior. From these concepts we develop specific products tailored to user applications.
For additional information or specific questions, please contact us at firstname.lastname@example.org.