Computer science has grown rapidly since its inception in the 1950s and the pioneers in the field are celebrated annually by the A.M. Turing Award. In this paper, we attempt to shed light on the path to influential computer scientists by examining the characteristics of the 72 Turing Award laureates. To achieve this goal, we build a comprehensive dataset of the Turing Award laureates and analyze their characteristics, including their personal information, family background, academic background, and industry experience. The FP-Growth algorithm is used for frequent feature mining. Logistic regression plot, pie chart, word cloud and map are generated accordingly for each of the interesting features to uncover insights regarding personal factors that drive influential work in the field of computer science. In particular, we show that the Turing Award laureates are most commonly white, male, married, United States citizen, and received a PhD degree. Our results also show that the age at which the laureate won the award increases over the years; most of the Turing Award laureates did not major in computer science; birth order is strongly related to the winners' success; and the number of citations is not as important as one would expect.

中文翻译：

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什么样的人赢得图灵奖？

自1950年代成立以来，计算机科学发展迅速，每年由图灵奖（AM Turing Award）来表彰该领域的先驱。在本文中，我们试图通过研究72位图灵奖获得者的特征来阐明有影响力的计算机科学家的道路。为了实现这一目标，我们构建了图灵奖获奖者的综合数据集，并分析了他们的特征，包括他们的个人信息，家庭背景，学术背景和行业经验。FP-Growth算法用于频繁特征挖掘。相应地为每个有趣的功能生成了逻辑回归图，饼图，词云和地图，以发现有关推动计算机科学领域有影响力的工作的个人因素的见解。特别是，我们表明，图灵奖的获得者最常见的是白人，男性，已婚美国公民，并获得了博士学位。我们的结果还表明，获奖者获得奖项的年龄随着年龄的增长而增加。图灵奖的大多数获奖者都不是计算机科学专业的学生；出生顺序与获胜者的成功密切相关；而且引文的数量并不像人们期望的那么重要。