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lyrambler

金虫 (小有名气)

[求助] 请各位大侠帮忙看看这几篇文章istp了吗?

请各位大侠帮忙看看这几篇文章istp了吗?其中5篇已经ei了。


1. Cross Layer Algorithm for Lifetime Maximization of Wireless Sensor Network

2. Research of Multi-path routing protocols based on AODV


3. The study on multipath DSDV in Ad Hoc

4.RESEARCH OF DETECTING E-BUSINESS FRAUD BASED ON DATA MINING

5.Research of electronic business security based on public key encryption methods

6.The study on Data Mining for Customer Behavior Modeling in Electronic Commerce

即使悲剧也望告知下,多谢,,20金币奉上。。。。
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tjuzhuzhiwen

铁杆木虫 (知名作家)

【答案】应助回帖

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lyrambler: 金币+20, ★★★★★最佳答案, 十分感谢。 2012-08-31 00:11:12
1. Cross Layer Algorithm for Lifetime Maximization of Wireless Sensor Network

ISTP未检索。

2. Research of Multi-path routing protocols based on AODV

ISTP未检索。

3. The study on multipath DSDV in Ad Hoc

ISTP未检索。

4.RESEARCH OF DETECTING E-BUSINESS FRAUD BASED ON DATA MINING

ISTP已检索。
RESEARCH OF DETECTING E-BUSINESS FRAUD BASED ON DATA MINING  
作者: Jun, M (Jun, Ma)  
书籍团体作者: IEEE  
来源出版物: 2011 INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND NETWORK TECHNOLOGY (ICCSNT), VOLS 1-4  页: 2201-2204   出版年: 2012  
被引频次: 0 (来自 Web of Science)  
引用的参考文献: 8 [ 查看 Related Records ]     引证关系图      
会议: International Conference on Computer Science and Network Technology (ICCSNT) 会议地点: Harbin Normal Univ, Harbin, PEOPLES R CHINA 会议日期: DEC 24-26, 2011
会议赞助商: IEEE  
摘要: The advent of electronic business (e-business) has made a large change in the way of business. Electronic business growth has increased very much in a great deal of practices. Researchers have posed rules-based auditing systems for electronic business transactions, but they rely on the auditor's knowledge of e-business fraud highly. While fraud happen, it is difficult to deal with by business systems due to the large number of online transactions. In this paper, we introduce a method that to bring about rules from fraud patterns based on data mining. Nextly, the system can distinguish transactions that have a high chance be deceptive by making use of these rules to e-business databases.  
入藏号: WOS:000304720100502  
文献类型: Proceedings Paper  
语种: English  
作者关键词: e-business; data mining; auditing systems  
通讯作者地址: Jun, M (通讯作者),Luoyang Inst Sci & Technol, Dept Econ & Business Adm, Luoyang, Peoples R China.  
地址:
1. Luoyang Inst Sci & Technol, Dept Econ & Business Adm, Luoyang, Peoples R China  
电子邮件地址: mj@lit.edu.cn  
出版商: IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA  
Web of Science 类别: Computer Science, Hardware & Architecture; Computer Science, Theory & Methods; Engineering, Electrical & Electronic  
研究方向: Computer Science; Engineering  
IDS 号: BAM59  
ISBN: 978-1-4577-1584-6  

5.Research of electronic business security based on public key encryption methods

ISTP未检索。

6.The study on Data Mining for Customer Behavior Modeling in Electronic Commerce

ISTP未检索。
2楼2012-08-30 21:06:26
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