{"title":"全息网络分析","authors":"I. Demydov, B. Strykhalyuk, M. Klymash","doi":"10.1109/BlackSeaCom.2014.6849006","DOIUrl":null,"url":null,"abstract":"These materials contain the physically- and mathematically-based representation of combined network hyper structures' meta-properties using their holographic definition and reconstruction principles, as well as similar approaches to representing, analyzing, prediction and storing of big amounts of the network-related proprietary data are given.","PeriodicalId":427901,"journal":{"name":"2014 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"The holographic network analysis\",\"authors\":\"I. Demydov, B. Strykhalyuk, M. Klymash\",\"doi\":\"10.1109/BlackSeaCom.2014.6849006\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"These materials contain the physically- and mathematically-based representation of combined network hyper structures' meta-properties using their holographic definition and reconstruction principles, as well as similar approaches to representing, analyzing, prediction and storing of big amounts of the network-related proprietary data are given.\",\"PeriodicalId\":427901,\"journal\":{\"name\":\"2014 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom)\",\"volume\":\"40 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-05-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/BlackSeaCom.2014.6849006\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BlackSeaCom.2014.6849006","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
These materials contain the physically- and mathematically-based representation of combined network hyper structures' meta-properties using their holographic definition and reconstruction principles, as well as similar approaches to representing, analyzing, prediction and storing of big amounts of the network-related proprietary data are given.
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