G. Panayotova, G. Dimitrov, Pavel Petrov, Bychkov Os
{"title":"信息系统建模和数据处理","authors":"G. Panayotova, G. Dimitrov, Pavel Petrov, Bychkov Os","doi":"10.1109/ICAIPR.2016.7585229","DOIUrl":null,"url":null,"abstract":"This paper analyses data modeling and approaches for finding regularities in large sets of data, as well as their application. The applications of the presented approaches are based on data derived from a relatively large information system (University of Library Studies and Information Technologies, Sofia, Bulgaria). This paper presents models and techniques to determine optimal speed of data processing and define critical points. The results are also analyzed and discussed. At the end of the paper we provide an instance with a large sample of the real observations and all results are illustrated with examples.","PeriodicalId":127231,"journal":{"name":"2016 Third International Conference on Artificial Intelligence and Pattern Recognition (AIPR)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"38","resultStr":"{\"title\":\"Modeling and data processing of information systems\",\"authors\":\"G. Panayotova, G. Dimitrov, Pavel Petrov, Bychkov Os\",\"doi\":\"10.1109/ICAIPR.2016.7585229\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper analyses data modeling and approaches for finding regularities in large sets of data, as well as their application. The applications of the presented approaches are based on data derived from a relatively large information system (University of Library Studies and Information Technologies, Sofia, Bulgaria). This paper presents models and techniques to determine optimal speed of data processing and define critical points. The results are also analyzed and discussed. At the end of the paper we provide an instance with a large sample of the real observations and all results are illustrated with examples.\",\"PeriodicalId\":127231,\"journal\":{\"name\":\"2016 Third International Conference on Artificial Intelligence and Pattern Recognition (AIPR)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"38\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 Third International Conference on Artificial Intelligence and Pattern Recognition (AIPR)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICAIPR.2016.7585229\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 Third International Conference on Artificial Intelligence and Pattern Recognition (AIPR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAIPR.2016.7585229","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Modeling and data processing of information systems
This paper analyses data modeling and approaches for finding regularities in large sets of data, as well as their application. The applications of the presented approaches are based on data derived from a relatively large information system (University of Library Studies and Information Technologies, Sofia, Bulgaria). This paper presents models and techniques to determine optimal speed of data processing and define critical points. The results are also analyzed and discussed. At the end of the paper we provide an instance with a large sample of the real observations and all results are illustrated with examples.