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Logo-DM – A Speech Therapy Optimization Data Mining System

Authors:
Mirela Danubianu
Adina Barila

Keywords: computer-based speech therapy; data mining; classification; association rules

Abstract:
This paper presents Logo-DM, a prototype for a data mining system dedicated to help the optimization of the personalized speech therapy. It uses data collected by TERAPERS system that was implemented at the “Stefan cel Mare” University of Suceava to assist speech therapists in the treatment of children suffering from dyslalia. Over these data, some data mining methods has been applied. The patterns obtained are useful for specialists for an efficient current activity. These can also provide knowledge that serves to improve the support offered by TERAPERS by raising the quality of its embedded expert system.

Pages: 101 to 106

Copyright: Copyright (c) IARIA, 2013

Publication date: November 17, 2013

Published in: conference

ISSN: 2326-9332

ISBN: 978-1-61208-311-7

Location: Lisbon, Portugal

Dates: from November 17, 2013 to November 21, 2013