{"title":"A fast algorithm of mining association rules in network management","authors":"Peiqi Liu, Zeng-zhi Li, Yu-Xi Chen, Yinliang Zhao","doi":"10.1109/ICMLC.2002.1174516","DOIUrl":null,"url":null,"abstract":"This paper presents the present study and research of knowledge discovery in database, points out the shortcoming of the classical a priori algorithm. Our research proposes the AprioriNEW algorithm based on reducing database, and analyses and appraises this algorithm in progress. The algorithm has been applied to mine the trap information in the network management.","PeriodicalId":90702,"journal":{"name":"Proceedings. International Conference on Machine Learning and Cybernetics","volume":"4 1","pages":"915-918 vol.2"},"PeriodicalIF":0.0000,"publicationDate":"2002-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings. International Conference on Machine Learning and Cybernetics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMLC.2002.1174516","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This paper presents the present study and research of knowledge discovery in database, points out the shortcoming of the classical a priori algorithm. Our research proposes the AprioriNEW algorithm based on reducing database, and analyses and appraises this algorithm in progress. The algorithm has been applied to mine the trap information in the network management.