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The application of Naive Bayesian Classification in anti-fraud system of telecommunications

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成果类型:
会议论文
作者:
GONG Lun-feng
作者机构:
The Department of Physics & Telecommunication Engineering of Hunan City University Yiyang, China
语种:
英文
关键词:
Data Mining;Naive Bayesian Classification;Tele-communications Fraud
年:
2011
页码:
1061-1064
会议名称:
2011 Eighth International Conference on Fuzzy System and Knowledge Discovery(第八届模糊系统与知识发现国际会议 FSKD 2011)
会议论文集名称:
2011 Eighth International Conference on Fuzzy System and Knowledge Discovery(第八届模糊系统与知识发现国际会议 FSKD 2011)论文集
会议时间:
2011-07-26
会议地点:
上海
会议赞助商:
东华大学<&wdkj&>IEEE
机构署名:
本校为第一机构
摘要:
Fraud in the telecommunications industry is growing, and it has seriously affected the development of the industry. Naive Bayesian Classification in data mining has a market value in the anti-fraud systems used in telecommunications. And it can tap the potential risks and identify the customers' fraud, so as to solve much small-scale dispersion of a large telecommunications fraud. With the rapid development of the telecommunications market, telecommunications fraud in the industry is also increasing. According to statistics, the losses caused by the telecommunications fraud are 5% to 10% of th...

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