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[求助]
请各位大侠帮忙看看这几篇文章istp了吗？
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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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lyrambler: 金币+20, ★★★★★最佳答案, 十分感谢。 2012-08-31 00:11:12
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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