Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
Voice-Enabling Enterprise Applications
WETICE '02 Proceedings of the 11th IEEE International Workshops on Enabling Technologies: nfrastructure for Collaborative Enterprises
Design and implementation of enhanced real time news service using RSS and VoiceXML
Proceedings of the 2007 conference on Human interface: Part I
Intelligent multi-modal recognition interface using Voice-XML and embedded KSSL recognizer
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part I
MMSDS: ubiquitous computing and WWW-Based multi-modal sentential dialog system
EUC'06 Proceedings of the 2006 international conference on Embedded and Ubiquitous Computing
Dynamic voice user interface using VoiceXML and active server pages
APWeb'06 Proceedings of the 8th Asia-Pacific Web conference on Frontiers of WWW Research and Development
ICCSA'06 Proceedings of the 6th international conference on Computational Science and Its Applications - Volume Part I
Fuzzy association rules: general model and applications
IEEE Transactions on Fuzzy Systems
A user-controlled voiceXML application based on dynamic voice anchor and node
ISPA'07 Proceedings of the 2007 international conference on Frontiers of High Performance Computing and Networking
Hi-index | 0.00 |
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.