Information Retrieval from School Data

The paper presents an analytical solution for information retrieval on public data generated from the education sector. A general and scalable model for schools grouping applicable to data of different school years, of different types of schools and different education systems is introduced. The retrieval procedure enables to identify unknown significant dependences between the school rate and education factors. The results serve for policy making in the education sector.