Technology Of Data Mining Based On Retail Trade And Improvement Research On Algorithm Of Association Rules

Along with globalization course accelerating expand, retail enterprises are confronted with enormous pressure of competition from world range, thereupon they cry out for drawing upon estimable business information and knowledge to cope with increasingly drastic agora challenge. How to develop and use information resource availably, will become the emphases of information work for property retail enterprises. Data mining help people disinter information associated with enterprise decision from all kinds of information. On the base, it establishes sales plans, which are effective, aiming at customers. Ultimately it brings more profits to the enterprises. Data mining is a course that extracts potential and available information that conceal among the rest, people is insensible of beforehand, and which is latency available here again from abundant, incomplete, noisy, blurry, accidental data.The paper firstly analyses the researching and developing situation of data mining, gives corresponding researching and summarizing job at areas of its developing history, its existing problem at present and its development directions. It brings forward some my own opinion. It establishes the base for future research of data mining technology. Afterwards, it bats around basic strokes and methods of data mining, especially analysis of data mining technology based on retail business. And then it carries through detailed research on associated analysis method. On this base, it carries through data mining research on the sales data of a supermarket. It makes some corresponding amelioration to the Apriori algorithm, and it gains preferable effect.