Implementation example of the expert system for decision support on Android platform based on a specific dataset

Abstract

This paper presents the method of creating Expert system for decision support on the Android platform. The system knowledge base for the given area of expertise is generated by inductive learning methods based on examples from the WEKA data research system. The system was realized using the Expert System shell for the e2gDroid lite mobile device, based on the application area and a set of training examples, specifically based on the Covertype Data Set qualification problem.