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廖孟柯,樊冰,李忠政,等. 基于改进Apriori算法的配电网设备退役信息挖掘[J]. 科学技术与工程, 2021, 21(24): 10381-10386.
Liao Mengke,Fan Bin,Li Zhongzheng,et al.Mining of Distribution Network Equipment Decommissioning Factors Based on Improved Apriori Algorithm[J].Science Technology and Engineering,2021,21(24):10381-10386.
基于改进Apriori算法的配电网设备退役信息挖掘
Mining of Distribution Network Equipment Decommissioning Factors Based on Improved Apriori Algorithm
投稿时间:2021-01-09  修订日期:2021-05-28
DOI:
中文关键词:  配电网设备  数据挖掘  Apriori算法  设备退役
英文关键词:distribution network equipment  data mining  Apriori algorithm  equipment decommissioning
基金项目:国家自然科学基金(51677065);国家电网有限公司科技项目(5400-202056131A-0-0-00)
              
作者单位
廖孟柯 国网新疆电力有限公司经济技术研究院
樊冰 华北电力大学
李忠政 国网新疆电力有限公司经济技术研究院
付林 国网新疆电力有限公司经济技术研究院
舒楠 华北电力大学
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中文摘要:
      影响配电网设备提前退役的因素复杂多样,而且多种因素之间互相作用。为了筛选出影响设备提前退役的主要因素候选集,可以利用数据挖掘算法得到其中关联规则。其中,Apriori算法是最经典的挖掘关联规则的算法。但是由于传统的Apriori算法时间复杂度过大,计算效率不高。针对这一现状,提出一种基于三维矩阵的Apriori优化算法,通过建立三维矩阵以及简约数据库的方式,减少传统算法中的计算冗余,挖掘出影响配电网设备提前退役的因素频繁项集。通过对比实验结果,可见改进的算法能够得到配电网设备退役因素的关联规则并明显地提高计算效率。
英文摘要:
      The factors affecting early decommissioning of distribution network equipment are complex and diverse, and multiple factors interact with each other. In order to filter out the main candidate set of factors affecting early decommissioning of equipment, data mining algorithms can be used to obtain association rules among them. Among them, Apriori algorithm is the most classical algorithm for mining association rules. However, due to the time complexity of the traditional Apriori algorithm is too large, the computational efficiency is not high. To address this situation, an Apriori optimization algorithm based on three-dimensional matrix is proposed to reduce the computational redundancy in the traditional algorithm by establishing a three-dimensional matrix as well as a parsimonious database to mine the frequent item set of factors affecting the early decommissioning of distribution network equipment. By comparing the experimental results, it can be seen that the improved algorithm can obtain the association rules of the decommissioning factors of the distribution network equipment and significantly improve the computational efficiency.
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