Data Mining Results And Implementation Of XML Schema Storage

Data mining has a significant role in the decision-making in enterprise. And the DSS play a pivotal position in the enterprise. Data Mining and Data WareHouse Technology is dedicated to the research field:How to improve the operational efficiency and effectiveness of decision-making. One important research of this field is to storage the results of data mining efficiently and use efficiently.In this paper, we analysis the advantages and disadvantages of current storage methods of data mining. then using XML Schema describe the results of data mining. First, we use XML Schema to describe data mining results, then storing the XML Schema document with RDBMS. XML Schema can be used to describe and store mining results of almost all data mining systems. The reason is XML Schema's pure text can make it describe all mining results in a unified form. Last,we investigate the feasibility of using DOM XML to describe the mining results.Using the centralized method storage data mining results can avoid data redundancy, reducing disk space. The waste of rapidly expanding volume of data warehousing was effectively soluted. By comprehensive analysising, deeply mining, effectively organizing and managing the storage results can get newer and richer information, accelerate the speed of efficiency of data mining. And can using the mining results effectively. At the same time, it can provide a way to share the mining results in different systems, and this is very significant. Guiding by these goals, we have studied a date mining system's stucture. It uses a system with the result structure, this structure can effectively improve the efficiency of decision making and accelerate the speed of data mining.In this paper, the conclusion based on data mining methods and storage methods of the mining result, it can support most data mining results for the storage and application. This idea can be proposed to store results of most data mining, And this idea is universal and highly scalable, it has the value for further study.