Abstract

In specific judicial practice, the ODR mechanism has played an important role in the settlement of e-commerce disputes and network disputes. However, ODR is still in the exploratory stage in many aspects, and it is inevitable that there will be some problems. This article focuses on the A priori algorithm and frequent pattern growth algorithm in association with rule mining learning. The shortcomings of A priori algorithm and frequent pattern growth algorithm are described and researched accordingly, and an improved algorithm for learning A priori association rules based on matrix is proposed. By analyzing the international commercial dispute resolution mechanism in the Internet era, this article constructs an international commercial dispute resolution mechanism platform. By analyzing the process of disputes in foreign trade e-commerce transactions, this article proposes a method to automatically capture gateway dispute information through automated management system tools to improve the efficiency of the gateway. The algorithm in this paper scans the transaction database only once, and according to the matrix structure, it performs the logical AND operation of the row vector representing the data item in the matrix, and it learns frequent item sets quickly and accurately. The entire process effectively reduces the time consumption and space occupation required for frequent item set learning. According to the effective measurement method of the association rules, the effective association rules are extracted from the frequent item set. Through the realization of functions such as allocation, viewing, dispute handling, and statistics in the management tool, the progress and processing efficiency of the gateway dispute handling can be effectively managed. In addition, this article gives the dispute handling process of the website itself, adds the process of automatic completion of disputes by buyers and sellers through agreements, and improves the tools of the CS manual handling management system. The data results show that the method in this paper greatly improves the efficiency of handling disputes in foreign trade e-commerce transactions.

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