融合改进AprioriAll算法与云计算的旅游物流路径数据分析模型研究  

A Study on Tourism Logistics Path Data Analysis Model ofIncorporating Improved AprioriAll Algorithm and Cloud Computing

作　　者：李茂平 LI Maoping(School of Management,Dalian University of Finance and Economics,Dalian 116622,China)

机构地区：[1]大连财经学院管理学院,辽宁大连116622

出　　处：《长春大学学报》2024年第3期20-24,共5页Journal of Changchun University

基　　金：辽宁省教育厅项目(辽教通〔2022〕166号);大连市社会科学联合会项目(2022dlskzd390)。

摘　　要：随着旅游物流信息化水平的提高,产生了大量隐藏着重要信息的物流数据,而如何充分利用该数据成为许多企业的难题。研究利用分割数据技术优化改进Apriori算法,以达到分组统计的目的。结果表明,在10G、20G、30G的条件下,以及5%、10%、15%支持度条件下,数据处理时间分别为2小时、4.8小时、5小时,2.3小时、4.9小时、5.2小时,4小时、7.5小时、14.8小时,说明其效率得到显著提高。With the improvement of tourism logistics informationization,a large amount of logistics data with important information hidden has been generated,and how to make full use of these data has become a problem for many enterprises.This paper studies the optimized and improved Apriori algorithm by using segmented data technology to achieve the purpose of grouping statistics.The results show that the data processing time is 2 hours,4.8 hours and 5 hours;2.3 hours,4.9 hours and 5.2 hours;4 hours,7.5 hours and 14.8 hours respectively under the conditions of 10G,20G and 30G,as well as 5%,10%and 15%support degrees,indicating that its efficiency is significantly improved.

关 键 词：AprioriAll算法 云计算 旅游物流 

分 类 号：F252.1[经济管理—国民经济]