{"title":"A S URVEY OF LINK MINING AND ANOMALIES DETECTION","authors":"Zakea Idris Ali","doi":"10.5121/IJDKP.2016.6201","DOIUrl":null,"url":null,"abstract":"This survey introduces the emergence of link mining and its relevant application to detect anomalies which can include events that are unusual, out of the ordinary or rare, unexpected behaviour, or outliers.","PeriodicalId":131153,"journal":{"name":"International Journal of Data Mining & Knowledge Management Process","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Data Mining & Knowledge Management Process","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5121/IJDKP.2016.6201","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 survey introduces the emergence of link mining and its relevant application to detect anomalies which can include events that are unusual, out of the ordinary or rare, unexpected behaviour, or outliers.