{"title":"基于奇异值的切片挖掘","authors":"Lijie Zhang, Haili Yin, Hui Liu","doi":"10.1109/SNPD.2007.268","DOIUrl":null,"url":null,"abstract":"Slice is one of the major operations in on-line analysis processing which has played an important role in the application of decision support. Based on data cube, by mining the maximum singular value of the slices, a method was proposed in this paper to extract the inner rules of movement. Algebraic theories proved that it is feasible. And the numerical experiment also demonstrated that it is efficient.","PeriodicalId":197058,"journal":{"name":"Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Slices Mining Based on Singular Value\",\"authors\":\"Lijie Zhang, Haili Yin, Hui Liu\",\"doi\":\"10.1109/SNPD.2007.268\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Slice is one of the major operations in on-line analysis processing which has played an important role in the application of decision support. Based on data cube, by mining the maximum singular value of the slices, a method was proposed in this paper to extract the inner rules of movement. Algebraic theories proved that it is feasible. And the numerical experiment also demonstrated that it is efficient.\",\"PeriodicalId\":197058,\"journal\":{\"name\":\"Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007)\",\"volume\":\"23 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-07-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SNPD.2007.268\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SNPD.2007.268","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Slice is one of the major operations in on-line analysis processing which has played an important role in the application of decision support. Based on data cube, by mining the maximum singular value of the slices, a method was proposed in this paper to extract the inner rules of movement. Algebraic theories proved that it is feasible. And the numerical experiment also demonstrated that it is efficient.
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