請用此 Handle URI 來引用此文件：
http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/84317完整後設資料紀錄
| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 余峻瑜(Jiun-Yu Yu) | |
| dc.contributor.author | Ho-Hsiang Chao | en |
| dc.contributor.author | 趙和湘 | zh_TW |
| dc.date.accessioned | 2023-03-19T22:08:26Z | - |
| dc.date.copyright | 2022-07-05 | |
| dc.date.issued | 2022 | |
| dc.date.submitted | 2022-06-06 | |
| dc.identifier.citation | 1. Anil Jain. (2016). The five V’s of big data: https://www.ibm.com/blogs/watson-health/the-5-vs-of-big-data/ 2. Denise E. O’Donnell, Chuck Wexler. (2013). CompStat: Its Origins, Evolution, and Future in Law Enforcement Agencies, pp. 5-14. 3. Ingrid Burrington. (2018). Policing Is an Information Business. https://urbanomnibus.net/2018/06/policing-is-an-information-business/ 4. Joh, E. E. (2014). Policing by Numbers: Big Data and the Fourth Amendment. Washington Law Review, pp. 35-1467. 5. M. W. Lin, T. C. Huang, K. H. Chiang, C. H. Chou, C. Y. Wu, H. X. Lai, Y. Y. Lin, and Z. P. Wu. (2021). Research on Applying Big Data Analysis to Improve Fire Service Dispatch. Journal of Crisis Management, pp. 9-20. 6. Rushin, S. (2015). Structural Reform Litigation in American Police Departments. Minnesota Law Review, pp. 1343-1422. 7. Taipei City Police Department Budget Document. (2020). https://police.gov.taipei/cp.aspx?n=A29F981A4A4B61BA 8. New Taipei City Police Department Budget Document. (2020). https://www.police.ntpc.gov.tw/cp-18-2161-1.html 9. Taoyuan City Police Department Budget Document. (2020). https://www.typd.gov.tw/index.php?catid=20&id=2#gsc.tab=0 10. Taichung City Police Department Budget Document. (2020). https://www.police.taichung.gov.tw/ch/home.jsp?id=77&parentpath=0,4,41&&mcustomize=multimessages_list.jsp 11. Tainan City Police Department Budget Document. (2020). https://www.tnpd.gov.tw/News/Details/429f4276-b1d5-50f2-d997-99cead1afe75/18/30574 12. Kaohsiung City Police Department Budget Document. (2020). https://kcpd.kcg.gov.tw/News.aspx?n=51C1678E39305A8D&sms=1FDF6E6D29BF7FB9 13. William J. Bratton and Sean W. Malinowski (2008). Police Performance Management in Practice: Taking COMPSTAT to the Next Level. Policing: A Journal of Policy and Practice, Volume2, Issue3, pp. 261-263. 14. 趙人慶, 李琦美. (2021). 民眾報案一張單，報案證明的前世今生. Police Torch, Volume 777, pp. 1-5. 15. 蘇清偉. (2018). 警政大數據之應用分析. 內政部警政署署務會報, pp. 1-33. https://tinyurl.com/ye24dd7f | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/84317 | - |
| dc.description.abstract | Police officers are always collecting random information during their duty dealing with reports of people. The information is like a critical piece of the puzzle. Without the information, truth-seeking is an ordeal. When the police find the association between the necessary information and the truth, police can see the whole picture of truth and make compelling predictions. The information can be a type of report, where the incident happened, details of the case, statements, pictures, and videos of a security camera. The Taiwan police force is scattered in rural and urban areas in Taiwan. The information they collected is diverse and enormous. Maybe the information was useless to the policeman who collected it, but it still has some possibility to be precious to others. The information won’t be informative without any systematic analysis due to the large amount and scale. The inconspicuous segmented information can become precious intelligence after Extract, Transform and Load (ETL). This business plan is dedicated to setting up a police big data analysis platform, which may help Taiwan police to have their data warehouse and do ETL and algorithm through Natural Language Processing. This kind of systematic analysis needs a vast amount of data and a centralized data warehouse. So that it can produce high-quality and informative intelligence as an outcome continuously to the police, and the intelligence can be appropriately utilized, thus supporting police officers and investigators in their decision-making process. | en |
| dc.description.provenance | Made available in DSpace on 2023-03-19T22:08:26Z (GMT). No. of bitstreams: 1 U0001-3105202211132700.pdf: 1694959 bytes, checksum: 5192c6625c414415e3a5e1788626a4b0 (MD5) Previous issue date: 2022 | en |
| dc.description.tableofcontents | Master Thesis Certification by Oral Defense Committee i Acknowledgment ii Abstract iv Table of Contents vi List of Figures viii List of Tables ix 1. Introduction 1 1.1 Research Background and Motives 1 1.2 Purpose 5 2. Literature Review 7 2.1 Taiwan Police Report Information applying Policy 7 2.1.1 The History of Revision 7 2.1.2 Current Policies 8 2.2 Practical Approach in a foreign country 9 2.2.1 CompStat in New York City, USA 9 2.2.2 CompStat Plus in Los Angeles City, USA 11 2.3 Practical Approach in Taiwan 12 2.4 Solution 13 3. System Development 16 3.1 Establishing a data warehouse and intelligence producing procedure 17 3.1.1 Information Sources Consolidation 18 3.1.2 Extract, Transform and Load (ETL) 20 3.1.3 Unified data input format 20 3.2 Investigative Intelligence Application 21 3.2.1 Investigative intelligence gathering 21 3.2.2 Active recommended investigative information 22 3.2.3 Visual statistical analysis 23 4. Feasibility Analysis 26 4.1 CompStat performance analysis 26 4.1.1 New York City 26 4.1.2 Los Angeles City 27 4.2 Domestic performance forecast 28 4.2.1 Take the murder case of a foreign female university student at the Chang Jung Christian University in 2020 as an example 28 4.2.2 Combating organized and gang-related crime as an example 31 4.3 Cost Structure 33 4.4 Summary 34 5. Conclusion 36 5.1 Low resistance to reform: speaking the same language with the present government 36 5.2 Valuable investment: reducing human resources and improving the quality of police personnel 37 Reference 41 Appendix 43 | |
| dc.language.iso | en | |
| dc.subject | 大數據 | zh_TW |
| dc.subject | 警政 | zh_TW |
| dc.subject | Natural Language Processing | en |
| dc.subject | CompStat | en |
| dc.subject | Policing | en |
| dc.subject | Big Data | en |
| dc.subject | ETL | en |
| dc.title | 商業計畫：警政大數據分析應用平臺 | zh_TW |
| dc.title | Business Plan: Police Big Data Analysis Platform | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 110-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 陳立宗(Li-Tsung Chen),謝源弘(James Hsieh) | |
| dc.subject.keyword | 警政,大數據, | zh_TW |
| dc.subject.keyword | Big Data,Policing,ETL,Natural Language Processing,CompStat, | en |
| dc.relation.page | 43 | |
| dc.identifier.doi | 10.6342/NTU202200844 | |
| dc.rights.note | 同意授權(限校園內公開) | |
| dc.date.accepted | 2022-06-06 | |
| dc.contributor.author-college | 管理學院 | zh_TW |
| dc.contributor.author-dept | 企業管理碩士專班 | zh_TW |
| dc.date.embargo-lift | 2022-07-05 | - |
| 顯示於系所單位： | 管理學院企業管理專班(Global MBA) | |
文件中的檔案：
| 檔案 | 大小 | 格式 | |
|---|---|---|---|
| U0001-3105202211132700.pdf 授權僅限NTU校內IP使用（校園外請利用VPN校外連線服務） | 1.66 MB | Adobe PDF |
系統中的文件，除了特別指名其著作權條款之外，均受到著作權保護，並且保留所有的權利。