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Usage of Web Data Mining in Public Security Monitor

Author: DongLi
Tutor: HaoXingWei;KongNing
School: Shandong University
Course: Computer technology
Keywords: Monitor Web Mining Text Mining Text Classification Network Robot
CLC: TP311.13
Type: Master's thesis
Year: 2007
Downloads: 228
Quote: 1
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WWW is changing people's lives , and become an indispensable tool in the life . The world has 100 million independent domain name and the contents of the website , the Google database 8000000000 index pages [1 ] . Great rich web content , but it has also become important position in a social unrest increased online penetration efforts , on the one hand, the domestic and foreign hostile forces , feudal superstition , obscenity decadent , unhealthy and harmful information such as sex and violence is also flooding the network network information security has become an important position in social stability , must be an effective means to regulate the network . Web search engines are useful information retrieval tools on the Internet , but because of the huge amount of information search engines , and a specific search engine contains information about a particular field , but as the monitoring of key websites and sensitive information content , you also need to make use of relevant technology for targeted research and development . Of learning research by today's search engines and related technologies , the first to explore the Web data collection methods , data mining theory , from the definition of Web mining , Web mining and Web information retrieval relationship , Web mining task of classification and elaborate functions . Then focus on analysis of Web text mining methods , including : text , text classification , text clustering . On this basis , the authors combined the public security work to design a data mining - based information monitoring system - public security information monitoring and analysis system (Public Security Information Monitor system to referred PSIMS ) described PSIMS design ideas and realization method , the principle is to use the network robot ( the Web Robot) automatically collect Web information , word processing and similarity calculation harmful information level assessment of the entire document , the text collection, analysis and mining combine web content monitoring .

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