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一种探测shill出价的数据挖掘模型
引用本文:罗掌华,陈芝,刘鲁.一种探测shill出价的数据挖掘模型[J].系统工程,2004,22(10):101-104.
作者姓名:罗掌华  陈芝  刘鲁
作者单位:1. 北京航空航天大学,经济管理学院,北京,100083
2. 湖南大学,工商管理学院,湖南,长沙,410082
基金项目:国家自然科学基金资助项目(7991061987)
摘    要:随着网上拍卖规模的不断扩大,作为最具隐蔽性的在线欺诈形式,shill出价开始引起人们的广泛关注,但由于传统拍卖理论缺乏对shill出价理论的研究,致使至今仍无有效的方法制约shill出价。本文通过引入生物信息学方法,模拟生物基因的遗传变异特性,在基于shill出价规律序列具有遗传变异的基础上,提出了一种探测shill出价规律序列的数据挖掘模型,模型克服了传统方法因shill可能频繁变更用户ID而失灵的问题。

关 键 词:shi11出价  数据挖掘  出价序列  在线拍卖欺诈  遗传变异规律
文章编号:1001-4098(2004)10-0101-04

A Data Mining Model for Detecting Shill Bidding
LUO Zhang-hua,CHEN Zhi,LIU Lu.A Data Mining Model for Detecting Shill Bidding[J].Systems Engineering,2004,22(10):101-104.
Authors:LUO Zhang-hua  CHEN Zhi  LIU Lu
Institution:LUO Zhang-hua~1,CHEN Zhi~2,LIU Lu~1
Abstract:Along with overspread of online auctions,shill bidding which possess hidden actions has drawn a lot of (attention.) Because of absence of a theoretical study in the traditional economics literature, so far, there is no or efficient methods to (restrict) shill bidding. Based on biology informatics methods, this paper presents a data mining method for detecting shill (bidding) law sequence by simulating transmissibility and variability of biologically gene. The model overcame the shortcoming question of the traditional methods, as the user-IDs of the sellers vary frequently in each of online auctions.
Keywords:Shill bidding  Data mining  Bid sequence
本文献已被 CNKI 维普 万方数据 等数据库收录!
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