Reporting Data Mining Results in a Natural Language

Abstract

An attempt to report results of data mining in automatically generated natural language sentences is described. Several types of association rules are introduced. The presented attempt concerns implicational rules – one of the presented types. Formulation patterns that serve as a generative language model for formulating implicational rules in a natural language are described. An experimental software system AR2NL that can convert implicational rules both into English and Czech is presented. Possibilities of application of the presented principles to other types of association rules are also mentioned.