Research On Decision Support System Of Cigarette Mixing Method Based On Data Mining

If there was not the ability of carrying on anglicizing scientifically to the magnanimous data, the manager of Wal-Mart could not conceivability that there lies very complicated relation between "beer and diaper" in which seem have not any relation even if he was shrewder. But the sales amount of beer was increased when putting them together. We can realize the great power of data anglicizing through this case. Information system have collected magnanimous amount of data during the past years, and this data is growing by exponential order. The enterprises urgently needs to analyze the data effectively, precisely and scientifically to discover the hideaway significance, then to understand the management condition and the external environment of the enterprises, to make the scientific resolution and to win in modern keen competition. So, it is a realistic and attractive question we are facing how to turn the data into becoming useful.DSS is the third pattern since the computer technology was applied in the scientific management domain. It has absorbed the first two kind of patterns merit, and is the recent development stage of the information system research. Data warehouse, data mining and OLAP are three kinds of data processing technology which have close relation among. Grasp accurately the difference and the relation among them, and respective merit and shortcoming. This can not only fully display their special skill in the processing data aspect, but give the chance to unify theirs superiority and supplement the deficiency mutually. The relation among them and data base is compared in this thesis.The OLAM theory is a hot spot of studied in the data warehouse technology area in the recent years. The domestic and foreign research and development personals have carried on the unremitting technical study to it since its concept has been proposed. But because of the complexity of this topic, general speaking, its practical application still lags in its progress itself. The true OLAM products have not been developed up till now. The crack of OLAP loosely combined by data mining and OLAP has not closed. I give my own processing comment to the problems cumbering the development of OLAM on the base of further research.The tobacco profession holds the pivotal status in now society. The cigarette mixing method is an important technological process in the cigarette production process. Rational mixing method can not only bring rich profit for the enterprise, butsave the resources for the society as well as meet each social stratum public figure's need to cigarette. So, it is an important topic with practical significance how to carry on scientifically mixing to some tobacco enterprise's cigarette. Clean and process the data involving during the course of cigarette mixing through building DW, then further mine to the data, and discover the important rules which have not been known to us hiding among the data for the policy-makers. A concrete construction process is introduced for data mining information system taking cigarette mixing as case in the thesis.