Research And Implementation On Information Recommended Of Goods Transport Platform Based On The Algorithm Of Association Rules Mining

As the development of e-commerce and Internet technology in the past ten years, the industry of logistics has been developing rapidly. For example, the number of logistics company increase greatly and the types of business are enriched, the capacity of operational continues to increase. These changes need the level and method of the logistics management been changed. Logistics industry will generate much of information of cargo transport only due to the rapid development of e-commerce. Therefore, how to make use of the information technology in the years of rapid development of information technology and how to find the data that can be used in the decision which will win more profits for the enterprises and to create the new logistics which are intelligent is be the most important foundation for the data mining used in the logistics.The system of modern logistics will generate a lot of cargo transport information. Logistics cannot statistic the information accurately and make the decision efficiently as the vast amounts of information that are stored in the database of logistics. The system of cargo transport can not afford the users of the system with the services of decision accurately. And the traditional services of decision are usually determined by human with their intuition. The decisions that made by human lack of effectiveness. And it is difficult to verify the correctness of the data. Data mining that is produced in recent years are used to organize and analysis to data.As the data mining is generated. It can be used to processing and analysis the information that are massive and complex. Data mining can provide enterprise with a decision support. Data mining are used in many kinds of industries, such as retail, industrial, financial services, and government departments and so on. The purpose of this paper is to find the association of the goods information and vehicle information that are stored in this cargo transport platform. The association of the information is also called the strength of the association. The strength of the association concept is called association rules in data mining. Association rules are widely used in data mining. Association rules can find the strength of the association through mining the association rules between the information of goods and vehicle in cargo transport platform. Then we can get the feature of the goods and vehicle. The most classic algorithm of data mining is the algorithm of apriori, division and fp-tree. Aprioriis simple and straightforward compared with other association algorithm, partition and fp-tree for example. Apriori is easy to mining the data. Others ignore the correlation between the information due to the branch.The algorithm of apriori association rule mining is used in this paper. The classic algorithm of apriori is to scan the data frequently that is stored in the database. Whenever the item sets are formed from the candidate, the database is scanned to statistical how many times those are stored in database. As the users are increasing and the information of goods and vehicle are massive in company’s transport platform, there are massive information stored in the database. So, scanning the database frequently will make low efficiency. As the defect of the algorithm and the feature of information that are stored in the cargo transport platform, the algorithm of apriori is improved. The algorithm of association rule is achieved to be used in the cargo transport platform. And the platform can recommend the information accord to the feature that is found through the algorithm of data mining.The main research done in this paper as follows:(1)We introduce the background of using of data mining in transport industry, as well as others that are used in many other industries.(2) We introduce the use of the algorithm of apriori association rule detailed. And we introduce the concepts and processes through illustrating examples. And we have improved the algorithm according to the feature of recommendation function in this transportation platform and the defect of apriori itself that the algorithm must scan the database many times.(3) It achieved to use the algorithm that is improved in this paper.The goal that we used the algorithm of association rules mining in this paper is to mining the feature of goods and cars according to the corresponding information of goods and cars that are store in the platform. The features of information that are stored in the platform are that the information of goods is owned by a user and every of the information is ordered by a driver. The function of recommend about goods and cars are achieved used in the platform according to the owners of cars and the features of results got from the data mining.