论文标题
用于检测北卡罗来纳州教育彩票非法折扣的算法
Algorithm for detection of illegal discounting in North Carolina Education Lottery
论文作者
论文摘要
彩票是一个非常有利可图的行业。流行的迷恋通常集中在最大的奖品上。但是，在较低的赌注下检测出异常的彩票购买行为的关注减少了。我们的论文介绍了一种新的模型，该模型使用净收益和门票购买习惯的统计分析来检测北卡罗来纳州教育彩票中的非法折扣。九个外围玩家被标记，并使用提出的随机模型进一步检查，以计算他们在彩票中可能损失的范围。使用彩票商店访问行为的K-均值聚类分析进一步确认了被标记为离群值的玩家的异常购买模式。
The lottery is a very lucrative industry. Popular fascination often focuses on the largest prizes. However, less attention has been paid to detecting unusual lottery buying behaviors at lower stakes. Our paper introduces a new model to detect illegal discounting in the North Carolina Education Lottery using statistical analysis of net gains and ticket buying habits. Nine outlying players are flagged and are further examined using a proposed stochastic model to calculate the range of their possible losses in the lottery. The unusual buying patterns of the players flagged as outliers are further confirmed using a K-means clustering analysis of lottery store visiting behaviors.
