Multi-sensor fusion: fundamentals and applications with software
Multi-sensor fusion: fundamentals and applications with software
Principles of Data Fusion Automation
Principles of Data Fusion Automation
Data Mining for Web Intelligence
Computer
Data Mining: An Overview from a Database Perspective
IEEE Transactions on Knowledge and Data Engineering
Data-Driven Discovery of Quantitative Rules in Relational Databases
IEEE Transactions on Knowledge and Data Engineering
Mining Generalized Association Rules
VLDB '95 Proceedings of the 21th International Conference on Very Large Data Bases
Speech enhancement using sub-band adaptive Griffiths--Jim signal processing
Speech Communication - Special issue on speech processing for hearing aids
A Human-Computer Interactive Method for Projected Clustering
IEEE Transactions on Knowledge and Data Engineering
Hyperdatabases for Peer-to-Peer Data Stream Processing
ICWS '04 Proceedings of the IEEE International Conference on Web Services
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 3 (ICME '03) - Volume 03
Implementing a high accuracy speaker-independent continuous speech recognizer on a fixed-point DSP
ICASSP '00 Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 06
A system for medical consultation and education using multimodal human/machine communication
IEEE Transactions on Information Technology in Biomedicine
Autonomous decision-making: a data mining approach
IEEE Transactions on Information Technology in Biomedicine
A decision-theoretic approach to data mining
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Data mining in soft computing framework: a survey
IEEE Transactions on Neural Networks
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This paper proposes a decision theoretic fusion framework for actionability using data mining techniques in an embedded car navigation system. An embedded system having limited resources is not easy to manage the abundant information in the database. Thus, the proposed system stores and manages only multiple level-of-abstraction in the database to resolve the problem of resource limitations, and then represents the information received from the Web via the wireless network after connecting a communication channel with the data mining server. To do this, we propose a decision theoretic fusion framework that includes the multiple level-of-abstraction approach combining multiple-level association rules and the summary table, as well as an active interaction rule generation algorithm for actionability in an embedded car navigation system. In addition, it includes the sensory and data fusion level rule extraction algorithm to cope with simultaneous events occurring from multi-modal interface. The proposed framework can make interactive data mining flexible, effective, and instantaneous in extracting the proper action item.