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Published in:
2008 | OriginalPaper | Chapter
Intelligent Information System Based on a Speech Web Using Fuzzy Association Rule Mining
Authors : Hyeong-Joon Kwon, Kwang-Seok Hong
Published in: Computer-Human Interaction
Publisher: Springer Berlin Heidelberg
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In this paper, we propose and implement an intelligent information system that is based on both a wired and a wireless telephone network-based speech Web using fuzzy association rule mining, and we present a session management method in a VXML-based speech Web. The proposed system collects voice content that is requested by the user, and it considers the user’s listening time, which is an important data in speech applications. The system uses a reasoning process to identify the related contents from the collected transaction database by using fuzzy association rule mining, and then the system recommends it to the user. This method considers the user’s listening time and it can explore the database with an accuracy that is made possible by the dynamic generation of the fuzzy membership function. The experimental results confirm that we are obtaining more accurate reasoning result than the speech Web applications that use the existing generic data mining algorithm.