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Research on Filtratting Technology of Chinese Information

Author: LiShouHua
Tutor: ZhuQunXiong；YeYi
School: Beijing University of Chemical Technology
Course: Applied Computer Technology
Keywords: Information Filtering Decision Tree Naive Bayes Attributes associated Bayesian
CLC: TP391.1
Type: Master's thesis
Year: 2006
Downloads: 199
Quote: 2
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Abstract


In recent years , the rapid development of the Internet at the same time to bring a lot of convenience to the people , it also brings a lot of problems such as information overload , isotropic , in order to overcome this problem , it is necessary to study the Web information filtering technology . Chinese text information filtering is one of the main directions of the Chinese information processing it according to the needs of users in the dynamic flow of information to search for information of interest to the user , to shield other useless information . Convenient for users to access and use the information provided . Web text extraction information premise filtration process . Site codes , the structure and control characters , the text extraction and Chinese word program , use the program can be extracted from these text keywords to form a set of keywords , the document to the keyword to indicate when the information the processing becomes simple. Currently in many data mining methods , ID3 algorithm - based decision tree method is the information filtering wider . On learning the basis of analysis of ID3 algorithm , to achieve a decision tree classification procedure based on the ID3 algorithm , the program can be effective classification of Chinese information . In addition , the program can also be extracted from the classified data classification rules , these rules may be needed to add , delete and modify . Experimental results show that a decision tree classifier is indeed an effective classification techniques . The field of data mining , classification based on Bayesian network model is a useful research focus . This article is from the two aspects of Bayesian classifier model and program implementation: Naive Bayes classifier associated with the property Bayesian classifier . Naive Bayesian network is a simple and effective classification model , but its attribute independence assumption makes it impossible to express dependencies between attribute variables affect its classification performance . Keywords collection , analysis , according to the key

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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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