Research On The Development Of Automobile Data Collection And Management System

Along with the automobile industry development, the demand for cars is alsoincreasing. Rely on artificial to manage vehicle information in the past, managementhas many holes. Along with the database maturaton, the automobile data collectionand management is becoming more and more important.To deal with the problem, thepaper proposed a method based on data mining.Data mining, also known as knowledge discovery in databases, it is the processthat can find the relevant, important, credible, and the potential data from the massstored in the data warehouse or database. And it will help the decision-makers makethe right decisions. Data in the database is noisy, incomplete. And rough set theory isa new mathematical tool which can deal with the vagueness and uncertainty problem,its most notable feature is that the rough set does not require any prior knowledge ofthe problem, it can directly get the decision rules though knowledge reduction from agiven describe a collection of starting the database preprocessing. Rough set attributereduction is one of the core theories, it is to maintain the discernibility of theinformation systems, delete unimportant and redundant condition attributes, andextract important information from the information systems.The paper defines a new concept of attribute significance based on the granularfineness, and using the significance as the inspiration for attribute reduction. From theoriginal uncertainty information systems, we define a new space of granular based onequivalence relation of rough sets. This method is not only make the original systemfrom the uncertainty, inconsistency becomes established, compatible,also greatlyreduced the space occupied by the original system to avoid duplication of thecalculation object. In the system proposed will be incompatible compatibleinformation table into the grain space and simplify them, reducing the search time.And introducing the concept of knowledge granularity to the information system,redefining the particle fineness, and the equivalence relation of rough set to build thebasic particles and particle fineness as the property based on the increasing trend ofmonotonically decreasing, proposes an effective decision information system heuristicattribute reduction algorithm.