@inproceedings{5b7435478c7944e98439127da962e030,
title = "Agent-based pattern mining of discredited activities in public services",
abstract = "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.",
author = "Li Chunsheng and Gao Yatian",
year = "2006",
doi = "10.1109/WI-IATW.2006.31",
language = "英语",
isbn = "0769527493",
series = "Proceedings - 2006 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT 2006 Workshops Proceedings)",
publisher = "IEEE Computer Society",
pages = "15--18",
booktitle = "Proceedings - 2006 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT 2006 Workshops Proceedings)",
address = "美国",
note = "2006 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology ; Conference date: 18-12-2006 Through 22-12-2006",
}