Research On Application Of And Data Warehouse And Data Mining Technology

It is a cross discipline developed rapidly at home in recent years that the data raining technology, involve database , statistics , artificial intelligence and machine learning in a lot of fields of studying etc.. Application of computer is it produce a large number of data to popularize, data is it utilize above-mentioned technology carry on great data treatment of quantity to excavate. The application that the data mining is very broad , from prediction of agricultural production to gene classification, NBA change team member when participating in a contest , swindle to the tax checking from credit card, the data mining will play a mainer and mainer role to each field of the society in the future .The study of the data mining technology of our country on one hand the scientific research institution stay on the academic research, another utilize the software product of the foreign company to solve the concrete problem. In order to improve the academic level, scientific research personnel have to carry on high-level but very difficult to be practical algorithm research;In order to increase economic efficiency, the software of the practical foreign company of enterprises is the sanest. But, it is ripe technology that the data mining technology to need, during the process of solving practical problem and direct against the revision of the concrete problem, so need to excavate concrete technology to analyze to the data urgently at home.Apriori algorithm is a Association Rules algorithm on foundation, there are a lot of to its improvement algorithms. This paper is it collect and act as further improvement to decrease candidate items into algorithm this. Combine distribution of the press business , study further algorithm , make it suitable for multi-level distributed system of distribution of the press at present.This paper is divided into five chapters. Chapter one introduced the development of the data Warehouse , data mining and current situation . Chapter two discussed relevant concepts to the data mining . Chapter three discussed the realization and improvement of Aprio(?)i algorithm. Chapter four studied the Association Rules algorithm according to the level , has pressed the further expansion of the systematic structure. The last chapter is the conclusion and looks into the distance , summarize the groundwork that this text finishes, and excavate the future development of technology and study the direction to look into the distance about the data warehouse and data.