{"title":"从对称矩阵中枚举极大双列的一种新算法","authors":"M. D. Savio, A. Sankar, R. V. Nataraj","doi":"10.1109/EAIT.2012.6407897","DOIUrl":null,"url":null,"abstract":"We address the problem of enumerating maximal bicliques from a symmetric matrix. We propose a novel algorithm named TWINBLADE which exploits the properties of symmetric matrix, and reduces the search space to a larger extent and it generates not even a single duplicate. Our algorithm is compared with LCM-MBC algorithm, in the experiment conducted, ours take almost only half the running time of LCM-MBC for sparse and comparatively performs better for dense datasets.","PeriodicalId":194103,"journal":{"name":"2012 Third International Conference on Emerging Applications of Information Technology","volume":"90 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"A novel algorithm for enumerating maximal bicliques from a symmetric matrix\",\"authors\":\"M. D. Savio, A. Sankar, R. V. Nataraj\",\"doi\":\"10.1109/EAIT.2012.6407897\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We address the problem of enumerating maximal bicliques from a symmetric matrix. We propose a novel algorithm named TWINBLADE which exploits the properties of symmetric matrix, and reduces the search space to a larger extent and it generates not even a single duplicate. Our algorithm is compared with LCM-MBC algorithm, in the experiment conducted, ours take almost only half the running time of LCM-MBC for sparse and comparatively performs better for dense datasets.\",\"PeriodicalId\":194103,\"journal\":{\"name\":\"2012 Third International Conference on Emerging Applications of Information Technology\",\"volume\":\"90 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 Third International Conference on Emerging Applications of Information Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EAIT.2012.6407897\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 Third International Conference on Emerging Applications of Information Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EAIT.2012.6407897","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A novel algorithm for enumerating maximal bicliques from a symmetric matrix
We address the problem of enumerating maximal bicliques from a symmetric matrix. We propose a novel algorithm named TWINBLADE which exploits the properties of symmetric matrix, and reduces the search space to a larger extent and it generates not even a single duplicate. Our algorithm is compared with LCM-MBC algorithm, in the experiment conducted, ours take almost only half the running time of LCM-MBC for sparse and comparatively performs better for dense datasets.