| Road transport is the largest component of China’s comprehensive transportation, theroad transport information system plays an important role on the road transport management,service and industry development. Data mining of road transport information system is thekey technique means to apply the deeply use of system and data. Starting from the study ofroad transport information system model framework, top-level design and data mining needs,for a variety of data mining theory and the advantages and disadvantages, in statisticalanalysis, association rules, classification, classification, clustering optimization five aspectsthe dissertation has proposed mining method for various kinds of knowledge in road transportand verified in the practical application system. Important findings of research work in thisdissertation include:1. This dissertation has researched basic question of data mining of road transportinformation system like model architecture and data warehouse and so on,proposed design ofdata types, data relation and data warehouse, focusing on design and application of typicaldata mart--IC card road transportation electronic certificate system.2. Compared with the conventional association rule algorithm Apriori and itsoptimization algorithm based on difference between Eclat, this dissertation first put forwardand proved two properties on which candidate set can be prune calculated based on prefixproject or suffix project, and then combined with cloud computing programming mode ofMapReduce, put forward a more optimized frequent set calculation method--Parallel NEclat,designed two section of Map function and Reduce function, parallel computing for pruning,finally all method were verified by the management information system of road transportationvehicle input data examples.3. This dissertation studied and analyzed strengths and weaknesses of the general datamining method of the classification. They are k-Nearest Neighbors method, decision treeclassification method and Bias’s classification method. And it analyzed the scope of datamining in road transportation information system, presented the application of methods, andverified it in the actual application of personnel management data of road transportationinformation system. Based on the application of the public traffic pass intelligent card system,the matrix model of consumption cross the district which like a BP neural networkclassification method was built, according to the actual application set the key parameterserror threshold and learning rate, and then through the training of actual card consumer data,obtained matrix of consumption cross the district, finally verified by actual test data. 4. Abstract model was proposed based on the general classification data mining problemdescription of theoretical research on the classification problem, the essence of classificationtheory was revealed by the rough set models. Based on combination of Apriori algorithm ofassociation rules and rough set, a series of methods on attribute reduction, the rule calculationprocess conditions, and the simplified rule were put forward, has optimized the associationand classification knowledge mining. First this dissertation proposed the method on usingrough set to get the relationship of number of rules and the degree of support confidence.Finally, applied quality credibility evaluation and fuel limit value problem instances in roadtransportation information system to test this method.5.Aiming at the typical density based clustering algorithm--DBSCAN algorithmshortcomings, proposed and proved principle of dimension attribute partition and clustering,and finally put forward the optimization of DBSCAN algorithm based on MapReducecombined with the three principles, this dissertation designed Map function and Reducefunction of cluster merging, and applied parallel computing, on the other hand analyzed theefficiency comparison of the algorithm, and verified it in the example of the practicalapplication of satellite positioning.6.Starting from the construction of Guangdong Province road transportation informationsystem business, application, data and technical architecture model, with emphasis on datatypes and features, data relationship and database programming, this dissertation proposed acomprehensive analysis of the demand of data mining, put forward ideas to solve the overall.Finally it applied the whole process of implementation of data mining in the satellitepositioning data management subsystem of GuangdongProvince road transportationinformation system by using advanced model comprehensive analysis tool which name isCognos. |
