Design And Implementation Of An Intelligent Information Filtering System Based On Data Mining

In the era of Internet, people hand in the full enjoyment of the information sharing brings convenience, but also inevitably of pornography, violence, revolution and other bad information problems. In the vast sea of data, how the people can learn the essence, goes to its dregs, the Internet has become a major concern for people in the age of. Intelligent information filtering system also is the hacker monitoring system is an indispensable part in the hacker monitoring system, intelligent information filtering system and adding hacker monitoring technology, can make the network more comprehensive and complete monitoring. Therefore, this research has great practical significance and application prospects.This paper first introduces the research background and significance, domestic and foreign information filtering technology development, research status, key algorithm, core technology, analyzes some typical information filtering model advantages and disadvantages; then based on the sufficient research, based on the data mining technology, the design and implementation of an intelligent filtering system; at the end of the dissertation are summarized and prospects. Mainly completed the following work:(1) the sample information database constructionFor a system of information filtering, the primary task is to construct complete information, data is accurate, reliable operation of the sample information library. Therefore, this paper adopts the port filter, URL filtering and content filtering combined filtration, automatic tissue sample database, automatic classification, greatly reduces the construction of information filtering system workload, improve the efficiency of information filtering system.(2) Web page text classified optimizationInformation filtering is the ultimate goal of source information and sample information according to the comparison result, to determine whether the filter source information. Therefore, the webpage text classification optimization of webpage information, compared with sample information sources, is one of the core tasks of information filtering system. In our analysis of the commonly used KMP pattern matching algorithm based on the advantages and disadvantages, makes the improvement to it. The improved algorithm can skips as many characters as possible matching, reduced cycle times, improve the information filtering and network monitoring system operating efficiency.(3) data mining based intelligent information filtering system design and Implementation With data mining technology as the foundation, the paper designed an intelligent information filtering system. The experimental results show that, the system designated filtering range is correct, reliable, efficient information filtering.To sum up, the information filtering system with reasonable structure, convenient operation, high efficiency, good maintainability, and has great application value.