Data Mining Applications, Decision Support Systems In Auto Sales

Auto sales enterprises became thriving specially after automobiles get into dally life, but there also exist a lot problems which perplexed every class of leaders of auto saling enterprises. for example, when new automobile models are put into market, how to decide the possible sale targets circle in order to make the advertisement propaganda orient by the way of historical data analysis.Auto sales enterprises preserve plenty of historical information after many years of operation, among which hold a lot of useful information, showing certain rules of auto saling that can be used to make nessecary analysis , in view of such situation, the author proclaimed using data mining technology to analyze auto sale data so as to discover useful information.The article makes research on data depository technology as well as data mining mathematition, improving data mining technology according to actual need.As far as data depository technology is concerned , during the formulation of data forms used by data mining, we take the measures of abstracting data from data depository , increasing not only the flexibility of data abstraction, but also the speed of it.As for relevant rule mining questions, in coping with the problems of multi-scan on data depository needed by present mining mathematitions and matching mood taken while discerning frequent items categories , the author suggests using interest extent to reduce frequency items categories according to actual need , limiting relevant scale , by way of which to increase the speed of data mining .Finally , the thesis researches application of Data Mining technology in the decision making system of auto saling , actually , to dig the data of automobile saling clients. The Data Mining result accords with the auto saling rules , which also has reference value to the other aspects of auto sales .