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| “数据科学”这一术语可以追溯到1974年,当时彼得·诺尔(Peter Naur)将其作为计算机科学的替代名称提出。<ref name=":0"> | | “数据科学”这一术语可以追溯到1974年,当时彼得·诺尔(Peter Naur)将其作为计算机科学的替代名称提出。<ref name=":0"> |
| {{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}} | | {{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}} |
− | </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> | + | </ref> 1996年,国际分级社团联盟(International Federation of Classification Societies)成为第一个以数据科学为专题的会议。<ref> |
| {{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}} | | {{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}} |
− | </ref> 在1996年,国际分级社团联盟 (IFCS)的成员在日本神户举行了两年一次的会议,在此,术语“数据科学”在由林知己夫(Chikio Hayashi) | + | </ref> 不过,关于数据科学的定义仍在不断变化。1997年,吴建福(C.F.Jeff Wu)建议将统计学重新命名为数据科学。他认为,新的名称将有助于统计学摆脱不准确的刻板印象,例如被认为是会计的同义词,或仅限于描述数据。1998年,林知己夫(Chikio Hayashi)主张将数据科学作为一个新的跨学科概念,包括三个方面:数据设计、收集和分析。 |
− | <ref name="Hayashi">
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− | {{Cite book
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− | |chapter-url=https://link.springer.com/chapter/10.1007/978-4-431-65950-1_3
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− | |url=https://www.springer.com/book/9784431702085
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− | |title=Data Science, Classification, and Related Methods
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− | |last=Hayashi
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− | |first=Chikio
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− | |date=1998-01-01
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− | |publisher=Springer Japan
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− | |isbn:9784431702085
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− | |editor-last=Hayashi
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− | |editor-first=Chikio
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− | |series=Studies in Classification, Data Analysis, and Knowledge Organization
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− | |location=
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− | |pages=40–51
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− | |language=en
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− | |chapter=What is Data Science? Fundamental Concepts and a Heuristic Example
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− | |doi:10.1007/978-4-431-65950-1_3
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− | |editor-last2=Yajima
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− | |editor-first2=Keiji
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− | |editor-last3=Bock
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− | |editor-first3=Hans-Hermann
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− | |editor-last4=Ohsumi
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− | |editor-first4=Noboru
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− | |editor-last5=Tanaka
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− | |editor-first5=Yutaka
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− | |editor-last6=Baba
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− | |editor-first6=Yasumasa
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− | }}</ref>
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− | 举办的圆桌讨论上经由介绍之后首次被纳入会议标题(“数据科学、分级、相关方法”)。
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− | <ref>
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− | Press, Gil.
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− | [https://www.forbes.com/sites/gilpress/2013/05/28/a-very-short-history-of-data-science/ "A Very Short History Of Data Science"].
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− | </ref>在1997年11月,吴建福(C.F. Jeff Wu)以[https://en.wikipedia.org/wiki/University_of_Michigan 密歇根大学]所授予的H.C Carver教授职位任命发表了题为“统计学=数据科学?”
| |
− | <ref name="cfjwutk">
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− | Wu, C. F. J. (1997).
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− | [http://www2.isye.gatech.edu/~jeffwu/presentations/datascience.pdf "Statistics = Data Science?"].
| |
− | Retrieved 9 October 2014.
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− | </ref>
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− | 的就职演讲
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− | <ref name="cfjwu01">
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− | [http://ur.umich.edu/9899/Nov09_98/4.htm "Identity of statistics in science examined"]
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− | .The University Records, 9 November 1997, The University of Michigan. Retrieved 12 August 2013.
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− | </ref>
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− | ,在演讲中他将统计学工作描述为数据收集、建模和分析、决策的三个流程。在结论中他首创了现代的、非计算机科学内的“数据科学”术语用法,并提倡统计学应更名为数据科学,统计学家应被称作为数据科学家。
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− | <ref name="cfjwutk"/>之后,他又在1998年纪念印度科学家和统计学家、[https://en.wikipedia.org/wiki/Indian_Statistical_Institute 印度统计学院]创立者[https://en.wikipedia.org/wiki/Prasanta_Chandra_Mahalanobis 马哈拉诺比斯(P.C. Mahalanobis)]的讲座上将同名的演讲作为其系列演讲
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− | <ref name="cfjwu02">
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− | [http://www.isical.ac.in/~statmath/html/pcm/pcm_recent.html "P.C. Mahalanobis Memorial Lectures, 7th series"].
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− | P.C. Mahalanobis Memorial Lectures, Indian Statistical Institute.
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− | Archived from [https://web.archive.org/web/20131029191813/ the original]
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− | on 26 Feb 2017. Retrieved 18 Jul 2017.
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− | </ref>
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− | 的第一篇进而发表。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.”<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" /> | | During the 1990s, popular terms for the process of finding patterns in datasets (which were increasingly large) included “knowledge discovery” and “data mining.”<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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− | 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" />
| + | 在20世纪90年代,描述在越来越大的数据集中寻找模式的流行术语包括“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 |