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Key Techniques of Text Ming on Criminal Cases

Author: ChengChunHui
Tutor: HeQinMing
School: Zhejiang University
Course: Applied Computer Technology
Keywords: Text Mining Text Classification Text Similarity Computing Data Mining Crime mining Chinese word segmentation Feature selection
CLC: TP391.1
Type: Master's thesis
Year: 2010
Downloads: 177
Quote: 1
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Abstract


Due to the rapid development of information technology , public security information system has accumulated vast amounts of business information . Facing a huge amount of public security information , an urgent need for the application of artificial intelligence technology , the data depth analysis and study of the law and the relationship of the various types of information , in order to better combat crime prevention and control of crime . Therefore , data mining techniques used in crime analysis is an urgent need for public security work . Text mining technology in recent years, an emerging field of data mining branch . In the massive case information , in addition to the strong degree of standardization of database data , there are a large number of cases of narrative text description. These cases text text mining technology research and application is very meaningful . In this paper, for a large number of criminal cases in the public security field text information , of the merits text mining technology research and application . The thesis of this article includes the following: (1) In the text preprocessing . Combined with the practical application of the need to establish some of the terms of public security business professional thesaurus ; , targeted special pretreatment method for both cases the characteristics of the text . (2) In the case of feature selection . In accordance with the demand of the practical application of research six feature selection algorithm selection algorithm , and by comparing the six kinds of features to determine the merits texts are mining a favorable feature selection algorithm . (3 ) In the case of classification mining aspects. The the case attribute information extraction methods and synonyms semantic analysis method , and improved based on the case similarity calculation method ; According to the criminal cases text category uneven features , improved Naive Bayesian multivariate Bernoulli where the model for improved Naive Bayesian the case text classification method uneven category . (4) in the application of the system design . Design and implementation of a typical three - tier C / S structure of the criminal cases of text mining system to achieve a similar criminal cases involving text retrieval module and criminal cases text classification module .

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Text Processing
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