Application of sparse matrix techniques to search, retrieval, classification and relationship analysis in large data base systems - SPARCOM

作者: Ron Ashany

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摘要: In order to meet the requirements of Large Data Base (LDB) Systems for short response time and high throughput a new approach has been investigated. this paper only certain aspects powerful system, called SPARCOM, are described. The unique system is conceptual conversion data into large sparse binary matrices that enables one apply sophisticated matrix techniques perform base operations. Only sake clarity presented in their form. performance due direct manipulation compact form as obtained from application algorithms.

参考文章(6)
E. F. Codd, Recent Investigations in Relational Data Base Systems. ifip congress. pp. 1017- 1021 ,(1974)
William S. Cooper, Fact Retrieval and Deductive Question-Answering Information Retrieval Systems Journal of the ACM. ,vol. 11, pp. 117- 137 ,(1964) , 10.1145/321217.321218
Jack Minker, Performing inferences over relation data bases international conference on management of data. pp. 79- 91 ,(1975) , 10.1145/500080.500092
Gordon J. VanderBrug, Jack Minker, State-space problem-reduction, and theorem proving—some relationships Communications of The ACM. ,vol. 18, pp. 107- 119 ,(1975) , 10.1145/360666.360672
M. E. Maron, On Relevance, Probabilistic Indexing and Information Retrieval Journal of the ACM. ,vol. 7, pp. 216- 244 ,(1960) , 10.1145/321033.321035
E. F. Codd, A relational model of data for large shared data banks Communications of the ACM. ,vol. 26, pp. 64- 69 ,(1983) , 10.1145/357980.358007