The Research of a Machine Learning Based Frued Investigation Police Assistant System

• Main Authors: Chih-Hsien Ko, 柯志賢
• Other Authors: Yi-Ming Chen
• Format: Others
• Language: zh-TW
• Published: 2019
• Online Access: http://ndltd.ncl.edu.tw/handle/hhtyhp

碩士 === 國立中央大學 === 資訊管理學系在職專班 === 107 === Due to the high number of domestic fraud cases, the government requires the police to list "Combating Fraud" as a key public security project to safeguard the safety of people's property and improve public satisfaction. At the end of 2005, the police established 165 Anti-fraud consultation information system (hereinafter referred to as "165 Anti-fraud system") as a single window for accepting people's reports, consulting across agencies, and coordinating the integration of private resources such as finance, telecommunications, and online games.This system became the national fraud database. The information in the "165 Anti-fraud System" is often used regardless of the first-line police officers who handle the report or the judicial police who investigate the fraud. However, there are still some shortcomings in the use of this system: (1) In addition to the need to produce survey transcripts, the first-line officers of the police service still need to make "165 Anti-fraud system" and "receive the report e-platform". The input of the report data of different policing system platforms will be time-comsumming; (2) Due to the complexity of the data fields for the "165 Anti-fraud System", the first-line police officers often make mistakes. These indirectly cause the judicial police who follow the fraud investigation to spend a lot of time sorting out the contents of the remitted information. This research first solves the above problems through machine learning techniques such as natural language processing technology and recommendation system technology. After confirming that machine learning technology can be applied in the production of survey transcripts to recommend and assist in the classification of cases, this study proposes an investigation application to improve the efficiency of investigation, and design a natural language processing and recommendation system to assist the police according to the acceptance and investigation mode. The system structure for investigating fraud cases serves as a reference for future police agencies to improve their construction.