IPSSC: Integration of structured expert knowledge

This paper presents an effective implementation of data preprocessing methodology and data mining referring to integrate decision rules as part of manually written expert system (expert knowledge) with models inducted from data. The methods we have used are standard methods for data pre-processing, including techniques for handling missing data, feature construction, transformation and aggregation, and J48 machine learning algorithm, implemented in WEKA data mining tool set for the process of integration of the manually created expert rules given in decision tables.