{"title":"基于遗传算法的web日志数据文件事务聚类","authors":"P. Pichappan","doi":"10.1109/ICDIM.2007.4444300","DOIUrl":null,"url":null,"abstract":"Increasingly web applications found to impact on numerous environments. The web log data offer more promises and particularly application of the genetic algorithms is significant as it represents the relations between different data components. We have used simple genetic algorithms to log files and we found that the preliminary results are more promising there by open more avenues for future research.","PeriodicalId":198626,"journal":{"name":"2007 2nd International Conference on Digital Information Management","volume":"87 19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Transaction clustering of web log data files using genetic algorithm\",\"authors\":\"P. Pichappan\",\"doi\":\"10.1109/ICDIM.2007.4444300\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Increasingly web applications found to impact on numerous environments. The web log data offer more promises and particularly application of the genetic algorithms is significant as it represents the relations between different data components. We have used simple genetic algorithms to log files and we found that the preliminary results are more promising there by open more avenues for future research.\",\"PeriodicalId\":198626,\"journal\":{\"name\":\"2007 2nd International Conference on Digital Information Management\",\"volume\":\"87 19 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2007 2nd International Conference on Digital Information Management\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICDIM.2007.4444300\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 2nd International Conference on Digital Information Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDIM.2007.4444300","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Transaction clustering of web log data files using genetic algorithm
Increasingly web applications found to impact on numerous environments. The web log data offer more promises and particularly application of the genetic algorithms is significant as it represents the relations between different data components. We have used simple genetic algorithms to log files and we found that the preliminary results are more promising there by open more avenues for future research.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
