Research On Data Mining System Based On Meta-Knowledge

Today, the technology of data mining abstracting valuable information and running rule from a great deal data has its important economic value and academic significance, for whether business management or corporation decision-making. The technology of database has developed for 30 years, but there are many unsolved problems in the new field, so it is in the period that the created scholars put forward new concepts and the researchers resolve the problems. In current market, there are many kinds of all-purpose data mining systems applied commercial mode, but in fact almost nobody can operate these systems very well, only the people who are familiar with the technology of data mining can understand and use them, it is difficult to apply these technologies to solve their questions for common user.Because the traditional data-mining model lacks the means that express sufficiently the mining object and necessary interaction, and the standard of estimate is singleness, it cannot meet the need of the current application. Though the designed efficient arithmetic and optimized strategy can relieve the conflict in a way, it cannot really resolve the problem. The paper thinks about the user sufficiently and attempts to discuss the resolved ways from the aspect about the whole structure of data mining system, its stress is to bring forward the data mining system model based meta-knowledge and design flexible arithmetic.The paper introduces mainly three important properties of data mining system: Interaction, Control, and Usability. If the user do not know the field of data mining, the type of information that he will mine, and how to express the ideas in the system and the database that he will meet, the paper can help you greatlyunderstand the interrelated questions very well through metaknowledge. The paper proposes the content of meta-knowledge, organization and application model according with the standard of meta-data exchange, and designs a data mining system structure based on meta-knowledge which really confuses database and data mining. The meta-knowledge can provide some ways when the domain knowledge is organized, expressed and used, while monitor mining procession which can scale the amount of data and acquire enough bases, can diversify the source of data and obtain criterion and control.Association rule is an important content in data mining, efficient arithmetic is the most important part of data-mining 昺odel, especially when facing the complicated and various demands, it is necessary to propose characteristic and complementary arithmetic according to different factors. The paper analyses elaborately the idea of association rule mining arithmetic based on constraints, studies the classes of constraints in order to confirm its utility. The arithmetic aiming at united variable constraints improvement strategy and exchange of complication aggregation constraints has been designed, the practice has proved that it is effective. And then some concept such as support match mode, 0 support constraint and matching principle have been given, further more supporting the alterable support arithmetic based on enumerate mode tree that gives smallest support has been designed too. The meta-knowledge provides agility means for realizing the above arithmetic.At last, the paper discusses the function of user interface and gives the method of selecting constraints according to information plus, the operating flow of association rule mining system based on meta-knowledge, and the idea of inducting meta-knowledge in theevaluating phase in order to unit evaluating rule to whole procession, thus can do better in enhancing mining efficiency and veracity.The paper do some thing which does it best at searching after primarily how to realize the exploring data-mining system oriented user and enhance its utility.