An Approach to Using XML and a Rule-Based Content Language with an Agent Communication Language
Issues in Agent Communication
Agent-Based Support for Collaborative Data Mining in Systems Management
HICSS '01 Proceedings of the 34th Annual Hawaii International Conference on System Sciences ( HICSS-34)-Volume 3 - Volume 3
An Improved Backpropagation Neural Network Learning
ICPR '96 Proceedings of the International Conference on Pattern Recognition (ICPR '96) Volume IV-Volume 7472 - Volume 7472
Agent-Based Hybrid Intelligent Systems
Agent-Based Hybrid Intelligent Systems
Data Mining: Concepts and Techniques
Data Mining: Concepts and Techniques
Development of the Data Preprocessing Agent's Knowledge for Data Mining Using Rough Set Theory
RSKT '09 Proceedings of the 4th International Conference on Rough Sets and Knowledge Technology
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Along with the applications of computer and database techniques, a large even huge amount of data has been produced and collected in the field of public service. Many valuable regulations hide in the raw data. It is necessary that new technique is studied to help the manager make proper decision. We propose a data mining model which is based on multi-agent technique to mine the discredit activities in the water sale public service. The Multilayer feed-forward neural network (MFNN) trained by the improved back-propagation (BP) algorithm and decision tree algorithm have been employed in the model. Five agents have been developed to mine the discredit patterns and evaluate the users' credit according to the model. A case study of Daqing Oilfield water supplying payment system has been implemented for verifying this model.