Inductive Logic Programming

ILP allows Future Route software to analyse any complex, highly relational set of data, then generate and test its own ideas about that data.

Traditional approaches to data mining and business information must start with ideas and hypotheses about the underlying data. But in highly relational data, like a set of accounts or transactional data, the most relevant hypotheses are usually not known ahead of time.

ILP allows the software to induce the rules and hypotheses about the data on its own - and then to test these against the data.

For example, we don't tell our rules engine that data in column X can help predict data in column Y in such a way. The software discovers this relationship by itself.

Unlike the linear rules of a typical data mining application, ILP uses First Order Logic to remove intermediate human interpretation steps and drive the investigation on its own.

The Future Route Advisory Board is head by Professor Stephen Muggleton, Head of the Computational Bioinformatics Laboratory at Imperial College, London and founder of the ILP field.

Algorithms and analysis

In addition to ILP principles, Future Route technology uses advanced analytics algorithms to spot likely errors that would be almost impossible to find in any other way.