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政大機構典藏 > 商學院 > 資訊管理學系 > 會議論文 > Item 140.119/75187

Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/75187

Title:	Use text mining approach to generate the draft of indictment for prosecutor
Authors:	Chen, C.-H.;Chi, Yan-Ping 季延平
Contributors:	資管系
Keywords:	Clustering;Cosine similarity;Criminal case;Drug abuse;Indictment;Prosecution;Text mining;Crime;Information systems;Data mining
Date:	2010
Issue Date:	2015-05-20 16:23:23 (UTC+8)
Abstract:	Motivation: The quantity of criminal cases year 2009 in Taiwan is up to 1.8 millions, Each prosecutor must handle over 211 cases per month, complaints on over loading is laud and clear. While 70 % of criminal cases are drug Abuse, public danger, larceny and fraud, these types of criminal cases may have different story though, the complexity are relative simple than cases of killing, corruption etc., but prosecutors still spend costly time on these cases handling. In this paper we try to use text mining technology to provide solution on this issue. Approach: We use the police`s investigation document of criminal case to compare with judgment history of court, and use Cosine Similarity algorithm to calculate coefficient of similarity, base on the highest coefficient, we find the closest judgment of this type of criminal case, that can be used to decide and generate the draft of indictment for prosecutor.
Relation:	PACIS 2010 - 14th Pacific Asia Conference on Information Systems
Data Type:	conference
Appears in Collections:	[資訊管理學系] 會議論文

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