{"title":"大数据预测分析技术","authors":"A. Dorogov","doi":"10.1109/SCM.2015.7190449","DOIUrl":null,"url":null,"abstract":"Basic technologies for creation of predicative analytical core for industrial systems of decision-making processes supporting are considered. It is proposed to use architectural solutions based on international standards of Data Mining. Issues of mobility and computational efficiency of analytical technologies for Big Data are discussed.","PeriodicalId":106868,"journal":{"name":"2015 XVIII International Conference on Soft Computing and Measurements (SCM)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Technologies of predictive analytics for big data\",\"authors\":\"A. Dorogov\",\"doi\":\"10.1109/SCM.2015.7190449\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Basic technologies for creation of predicative analytical core for industrial systems of decision-making processes supporting are considered. It is proposed to use architectural solutions based on international standards of Data Mining. Issues of mobility and computational efficiency of analytical technologies for Big Data are discussed.\",\"PeriodicalId\":106868,\"journal\":{\"name\":\"2015 XVIII International Conference on Soft Computing and Measurements (SCM)\",\"volume\":\"10 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-05-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 XVIII International Conference on Soft Computing and Measurements (SCM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SCM.2015.7190449\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 XVIII International Conference on Soft Computing and Measurements (SCM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SCM.2015.7190449","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Basic technologies for creation of predicative analytical core for industrial systems of decision-making processes supporting are considered. It is proposed to use architectural solutions based on international standards of Data Mining. Issues of mobility and computational efficiency of analytical technologies for Big Data are discussed.
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