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Unveiling Hidden Patterns in UFO Sig...

Chen, Yuxin.

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Unveiling Hidden Patterns in UFO Sightings: A Text Mining and Geostatistical Approach.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Unveiling Hidden Patterns in UFO Sightings: A Text Mining and Geostatistical Approach./
作者:	Chen, Yuxin.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2023,
面頁冊數:	105 p.
附註:	Source: Masters Abstracts International, Volume: 84-12.
Contained By:	Masters Abstracts International84-12.
標題:	Statistics. -
電子資源:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30529533
ISBN:	9798379736446

Unveiling Hidden Patterns in UFO Sightings: A Text Mining and Geostatistical Approach.
Chen, Yuxin.

Unveiling Hidden Patterns in UFO Sightings: A Text Mining and Geostatistical Approach. - Ann Arbor : ProQuest Dissertations & Theses, 2023 - 105 p.

Source: Masters Abstracts International, Volume: 84-12.

Thesis (M.S.)--University of California, Los Angeles, 2023.

This item must not be sold to any third party vendors.

This thesis delves into the enigmatic world of unidentified flying objects (UFOs), investigating the diverse characteristics, societal perceptions, and potential associations with military bases. Focusing on UFO sightings reported within the United States and documented by the National UFO Reporting Center (NUFORC) from 1969 to 2022, this study aims to shed light on the complexities surrounding these intriguing phenomena using statistical methods including Exploratory Data Analysis, Text Mining, Sentiment Analysis, and Geostatistical techniques.

ISBN: 9798379736446Subjects--Topical Terms:

517247
Statistics.
Subjects--Index Terms:

Geostatistical analysis

Unveiling Hidden Patterns in UFO Sightings: A Text Mining and Geostatistical Approach.
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520 $a This thesis delves into the enigmatic world of unidentified flying objects (UFOs), investigating the diverse characteristics, societal perceptions, and potential associations with military bases. Focusing on UFO sightings reported within the United States and documented by the National UFO Reporting Center (NUFORC) from 1969 to 2022, this study aims to shed light on the complexities surrounding these intriguing phenomena using statistical methods including Exploratory Data Analysis, Text Mining, Sentiment Analysis, and Geostatistical techniques.
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