基于云的统计分布识别模块

2014 International Conference on Mathematics and Computers in Sciences and in Industry Pub Date : 2014-09-13 DOI:10.1109/MCSI.2014.45

Ventsislav Nikolov, Danko Naydenov, A. Antonov

{"title":"基于云的统计分布识别模块","authors":"Ventsislav Nikolov, Danko Naydenov, A. Antonov","doi":"10.1109/MCSI.2014.45","DOIUrl":null,"url":null,"abstract":"In this paper an implemented software system for identification of best fitting distribution of sample data is described. Some modifications and additions of the known statistical approaches are presented aiming the practical application of the distribution identification task. Additionally the cloud computing approach is applied in order to process the sample data series in parallel that makes significantly faster the implemented system.","PeriodicalId":202841,"journal":{"name":"2014 International Conference on Mathematics and Computers in Sciences and in Industry","volume":"56 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Statistical Distribution Identification with Cloud Based Module\",\"authors\":\"Ventsislav Nikolov, Danko Naydenov, A. Antonov\",\"doi\":\"10.1109/MCSI.2014.45\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper an implemented software system for identification of best fitting distribution of sample data is described. Some modifications and additions of the known statistical approaches are presented aiming the practical application of the distribution identification task. Additionally the cloud computing approach is applied in order to process the sample data series in parallel that makes significantly faster the implemented system.\",\"PeriodicalId\":202841,\"journal\":{\"name\":\"2014 International Conference on Mathematics and Computers in Sciences and in Industry\",\"volume\":\"56 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-09-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 International Conference on Mathematics and Computers in Sciences and in Industry\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MCSI.2014.45\",\"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 International Conference on Mathematics and Computers in Sciences and in Industry","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MCSI.2014.45","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 0

摘要

本文介绍了一种用于识别样本数据最佳拟合分布的软件系统。针对分布识别任务的实际应用，对已知的统计方法进行了一些修改和补充。此外，为了并行处理样本数据系列，应用了云计算方法，这大大提高了实现系统的速度。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Statistical Distribution Identification with Cloud Based Module

In this paper an implemented software system for identification of best fitting distribution of sample data is described. Some modifications and additions of the known statistical approaches are presented aiming the practical application of the distribution identification task. Additionally the cloud computing approach is applied in order to process the sample data series in parallel that makes significantly faster the implemented system.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2014 International Conference on Mathematics and Computers in Sciences and in Industry

自引率

0.00%

发文量