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How to cheat the page limit
WIREs Data Mining and Knowledge Discovery ( IF 7.8 ) Pub Date : 2020-02-07 , DOI: 10.1002/widm.1361
Wouter Duivesteijn 1, 2 , Sibylle Hess 1, 2 , Xin Du 1, 2
Affiliation  

Every conference imposing a limit on the length of submissions must deal with the problem of page limit cheating: authors tweaking the parameters of the game such that they can squeeze more content into their paper. We claim that this problem is endemic, although we lack the data to formally prove this. Instead, this paper provides a far from exhaustive summary of ways to cheat the page limit, a case study involving the papers accepted for the Research and Applied Data Science tracks at the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD) 2019, and a discussion of ways for program chairs to tackle this problem. Of the 130 accepted papers in these two ECMLPKDD 2019 tracks, 68 satisfied the page limit; 62 (47.7%) turned out to spill over the page limit, by up to as much as 50%. To misappropriate a phrase from Darrell Huff's “How to Lie with Statistics,” we intend for this paper not to be a manual for swindlers; instead, nefarious paper authors already know these tricks, and honest program chairs must learn them in self‐defense.

中文翻译:

如何欺骗页面限制

每次会议都限制提交的长度,必须解决页面限制作弊的问题:作者调整游戏的参数,以便他们可以将更多内容压入论文中。尽管我们缺乏正式证明这一点的数据,但我们声称这个问题是地方性的。取而代之的是,本文提供了关于欺骗页面限制的方法的详尽详尽的总结,该案例研究涉及在欧洲机器学习与数据库知识发现的原理和实践会议上被研究和应用数据科学领域接受的论文( ECMLPKDD)2019,并讨论计划主持人解决此问题的方法。在这两个ECMLPKDD 2019领域的130篇接受论文中,有68篇符合页面限制; 有62(47.7%)个页面溢出,最多超出了50%。为了误用Darrell Huff的“如何撒谎统计”一词,我们打算使本文不成为骗子的手册。相反,邪恶的论文作者已经知道这些技巧,并且诚实的程序主持人必须以自卫的方式学习它们。
更新日期:2020-02-07
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