Supermarket Management System And Application Of Data Mining

This paper mainly introduce a analysis of requirement and essential design of a supermarket Management System and data mining based on it.Duration recent decades, the technology of data mining has made great progress. Data mining has become the most active branch of the research and development and application of database. Data mining is a progress which find information and acknowledge ,which is hidden and no one knows but potential, from the data which is vast and incomplete and noised and ambiguous and random. retail trade enter phase earlier of data warehouse than other trades by slender profit. Tradesmans found itcould direct increase efficiency of management of stock-in-trade and forecast of finance to improve process of decision-making. Tradesmans adopted data houseware in forepart so that they can have goog chance to make use of data mining retail trade is an important field because it have plentiful data about record of selling ,record of trades,consignment of goods,mode of consumption,record of service etc. especially due to improvement about practicability and epidemic of Web and electro-commerce,as well as rapid risement of data's quantity . Now,a large number of shops haue own web site,clients can buy something on line. Retail data's plentiful sources and styles provide abundantdata source. It is hard for tradesmans how to find the custom who most highly consumed and how to develop competitive business and how to improve efficiency in this circumstance. And just in this air tradesman resort to IT and hope to find a method to achieve it. This paper first introduce a analysis of requirement and essential design of a supermarket,the system compartmentalize two subsystem:background administrator subsystem and income administrator in the stage subsystem. Thereinto, income administrator in the stage subsystem take charge of selling work daily,it possess some characters including succinct interface ,fast responses,safe and credibilite running. main function include: support multistyle of payment; support merchandise sale , withdrawal goods, rebate management; hang up and resume data of sale ;print bill of sale;lock cash register;query and stat data of sale; rejigger password;strict and agility management of user purview . Background management system manage completely goods's transaction.it can implement management of computer for various bill of document;stat data of sale in time; strict management of warehouse; maturity of associator management system;perfect management of proved saleman ;as well as full management of financial affairs. Background management system disport some subsystems ,as follows:merchandise managementprovided trader managementprice managementstorage controlreport forms atherfinancial affairs controlmonth balanceyear balance10. reckoning11. historical data12. leaguer management13. usre managementIn resent years, supermarket faced on the competition of market. It is more and more important to whether we own an agility and powerful analysis system upon which we can make correct policy and bring forward some sales promotion on time. So we develop a data mining system base on supermarket Management System. This paper introduce how to apply the association rule of data mining to mine how to combine the strategy, so we avoid being devoicing from market and requirement and the loss and save money and improve efficiency.Association Rules is an important method of data mining. Association rules may find the association among different item or product. These rules may find out the mode of custom's purchasing action, if purchasing an item will affect other items. The rule which we find out through association rules can apply in design of product sheet and storage arrangement and classify of different users. We apply FP-tree method to find out the association rules from database. The association rules is important research in data mining and finding out association is first step. FP-tree is analyzed and implement. The best advantage of FP-tree is to savetime and space and to split data avo...