Combining the Power of Data Mining with Expert System for Efficiently Personalize Speech Therapy

This paper aims to present an initial research concerning a possible approach, in which a data mining technique classification could contribute to the completion of the knowledge base for expert system embedded in TERAPERSan intelligent system, which assists the personalized therapy of speech disorders, for Romanian children suffering from dyslalia. Since March 2008 the system is used by the therapists from Regional Speech Therapy Center of Suceava. It provides a data set which can serve as a foundation for data mining operations. Patterns resulted from these operations may enrich the set of rules which form the knowledge base of expert system in TERAPERS.