Abstract: Background: Currently, the rapid development of computers and the internet technology has intensified social informatization and business intelligentization. Under the circumstance, the modern logistics industry is more dependent on economic globalization and integration, consequently, it is necessary for the logistics industry to take full advantage of information technology to enhance market competitiveness and increase profits for enterprises. Materials and Methods: The traditional Apriori algorithm can generate lots of candidate item sets in association rule mining and the data are needed to be read for repeated times. Therefore, the traditional algorithm is very inefficient and a large number of invalid item sets are produced, which can result in the waste of storage and time. To deal with these problems, this study introduced a kind of mining algorithm of weighted association rules based on partition technology. It was loaded to structured query language server 2012 for data processing. The data set was processed with mining while parameters were varied. Moreover, the algorithm was applied in logistics information system for further experimental verification. The association rule mining algorithm (provided by SQL server) was applied for the mining of the same data set under the same conditions and contrast experimental verification was performed in logistics information system. Results: When the minimum support was low, the execution time of the algorithm proposed in this study was shorter than that of the association rule mining algorithm provided by SQL server and its performance was better. Conclusion: It proves that the proposed algorithm is superior, it is beneficial to the development of the logistics information system.