Research And Implementation Of Mining System On Online Network

Online networks is the network with the nature of asian society, built on the computer, remotecommunications technology on the basis of interactive information system to connect the differentsubjects, then the sharing of information between each other, exchange, and exchanges. As theopening, hidden features of Internet, people can express their true thoughts. The Internet is becomingthe gathering place of the public opinion. Public opinion in the network not only contains the active,enterprising, and useful information, but also contains a lot of reactionary, violent, pornographicinformation. Some people with ulterior motives of individuals and organizations, released a number offalse, negative rumors to confuse these rumors through the Internet continue to zoom in, rendering. Ifwe do not control and persuasion, may cause deep-seated social problems.The main work of this paper is to design and implement an online data mining system based ondeep analysis and mining online network users and group behavior characteristic, and our researchteam’s study theory in recent years. The main content and contribute is as below:1. Do research and analysis for web information extraction technology, design and make arealization of the pages intelligent crawling and web data extraction, data storing function modules;2. Design and realize user view modules and user interaction networks statistical analysismodules which support a variety of user interaction mode;3. Design and implement network data mining and analysis module, its features include: updatecrime probability, reason abnormal user, divide potential organizational and so on.