【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。更多还原

【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.更多还原