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添加2,134字节 、 2020年5月10日 (日) 20:00
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In 1962, John Tukey described a field he called “data analysis,” which resembles modern data science. Later, attendees at a 1992 statistics symposium at the University of Montpellier II acknowledged the emergence of a new discipline focused on data of various origins and forms, combining established concepts and principles of statistics and data analysis with computing.   
 
In 1962, John Tukey described a field he called “data analysis,” which resembles modern data science. Later, attendees at a 1992 statistics symposium at the University of Montpellier II acknowledged the emergence of a new discipline focused on data of various origins and forms, combining established concepts and principles of statistics and data analysis with computing.   
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1962年,John Tukey 描述了一个他称之为“数据分析”的领域,类似于现代的数据科学。在之后的阶段,参加1992年第二届蒙彼利埃大学统计研讨会的与会者承认了一个新的学科的出现,这个学科专注于各种缘起和形式的数据,将统计和数据分析的既定概念和原则与计算结合起来。
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1962年,John Tukey 描述了一个他称之为“数据分析”的领域,类似于现代的数据科学。<ref name=":7">
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{{Cite web|url=http://courses.csail.mit.edu/18.337/2015/docs/50YearsDataScience.pdf|title=50 years of Data Science|last=Donoho|first=David|date=September 18, 2015|website=|url-status=live|archive-url=|archive-date=|access-date=April 2, 2020}}
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</ref> 在之后的阶段,参加1992年第二届蒙彼利埃大学统计研讨会的与会者承认了一个新的学科的出现,这个学科专注于各种缘起和形式的数据,将统计和数据分析的既定概念和原则与计算结合起来。<ref>{{Cite book|title=Data science and its applications = La @science des données et ses applications|date=1995|publisher=Academic Press/Harcourt Brace|others=Escoufier, Yves., Hayashi, Chikio (1918-....)., Fichet, Bernard.|year=1995|isbn=0-12-241770-4|location=Tokyo|pages=|oclc=489990740}}</ref><ref>{{Cite journal|last=Murtagh|first=Fionn|last2=Devlin|first2=Keith|date=2018|title=The Development of Data Science: Implications for Education, Employment, Research, and the Data Revolution for Sustainable Development|url=https://www.mdpi.com/2504-2289/2/2/14|journal=Big Data and Cognitive Computing|language=en|volume=2|issue=2|pages=14|doi=10.3390/bdcc2020014|via=|doi-access=free}}</ref> 
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The term “data science” has been traced back to 1974, when Peter Naur proposed it as an alternative name for computer science. In 1996, the International Federation of Classification Societies became the first conference to specifically feature data science as a topic. In 1998, Chikio Hayashi argued for data science as a new, interdisciplinary concept, with three aspects: data design, collection, and analysis.   
 
The term “data science” has been traced back to 1974, when Peter Naur proposed it as an alternative name for computer science. In 1996, the International Federation of Classification Societies became the first conference to specifically feature data science as a topic. In 1998, Chikio Hayashi argued for data science as a new, interdisciplinary concept, with three aspects: data design, collection, and analysis.   
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“数据科学”这一术语可以追溯到1974年,由彼得·诺尔提出作为计算机科学的替代名称。1996年,国际船级社联合会成为第一个以数据科学为专题的会议。1998年,林志雄主张数据科学是一个新的、跨学科的概念,包括数据设计、数据收集和数据分析三个方面。
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“数据科学”这一术语可以追溯到1974年,由彼得·诺尔 Peter Naur 提出作为计算机科学的替代名称。.<ref name=":0">
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{{Cite journal|last=CaoLongbing|date=2017-06-29|title=Data Science|journal=ACM Computing Surveys (CSUR)|volume=50|issue=3|pages=1–42|language=EN|doi=10.1145/3076253|doi-access=free}}
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</ref> 1996年,国际船级社联合会 the International Federation of Classification Societies成为第一个以数据科学为专题的会议。<ref>
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{{Cite web|url=http://www2.isye.gatech.edu/~jeffwu/presentations/datascience.pdf|title=Statistics=Data Science?|last=Wu|first=C.F. Jeff|date=|website=|url-status=live|archive-url=|archive-date=|access-date=April 2, 2020}}
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</ref> 1998年,林志雄主张数据科学是一个新的、跨学科的概念,包括数据设计、数据收集和数据分析三个方面。<ref>
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{{Cite journal|last=Murtagh|first=Fionn|last2=Devlin|first2=Keith|date=2018|title=The Development of Data Science: Implications for Education, Employment, Research, and the Data Revolution for Sustainable Development|url=https://www.mdpi.com/2504-2289/2/2/14|journal=Big Data and Cognitive Computing|language=en|volume=2|issue=2|pages=14|doi=10.3390/bdcc2020014|via=|doi-access=free}}</ref> 
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During the 1990s, popular terms for the process of finding patterns in datasets (which were increasingly large) included “knowledge discovery” and “data mining.”   
 
During the 1990s, popular terms for the process of finding patterns in datasets (which were increasingly large) included “knowledge discovery” and “data mining.”   
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在20世纪90年代,在数据集中寻找模式的流行术语(数据集越来越大)包括“知识发现”和“数据挖掘”
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在20世纪90年代,在数据集中寻找模式的流行术语(数据集越来越大)包括“知识发现”和“数据挖掘”<ref name=":1">{{Cite web|url=https://www.forbes.com/sites/gilpress/2013/05/28/a-very-short-history-of-data-science/|title=A Very Short History Of Data Science|last=Press|first=Gil|website=Forbes|language=en|access-date=2020-04-03}}</ref><ref name=":0" /> 
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   --[[用户:趣木木|趣木木]]([[用户讨论:趣木木|讨论]])下为旧版关于数据科学的词源演变由来的部分内容  可参考整合并进行填充
 
   --[[用户:趣木木|趣木木]]([[用户讨论:趣木木|讨论]])下为旧版关于数据科学的词源演变由来的部分内容  可参考整合并进行填充
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