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Titlebook: Statistical and Scientific Database Management; Fourth International Maurizio Rafanelli,John C. Klensin,Per Svensson Conference proceedings

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楼主: Sentry
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Software and hardware enhancement of arithmetic coding,s of occurrence. In this paper, we present a scheme to enhance arithmetic coding by utilizing the locality of character reference, i.e., the tendency of consecutive characters to fall within the same type (e.g., alphabets, digits, trailing blanks, successive zeros). The proposed scheme effectively i
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Orthogonal range retrieval using bucket address hashing,he optimal number of bits of the bucket address to assign to each attribute of a record is derived, assuming that all the queries are not equally likely. Also, an algorithm which can be applied to produce optimal integer solutions is presented. It will be seen that an optimal file structure for part
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The classification problem with semantically heterogeneous data,semantical connection between the two classification systems, we can derive new and more detailed summary data. Therefore, the question whether an aggregate information is derivable or not, is fundamental to a query-processing system. We state a necessary and sufficient condition which leads to a si
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Database issues for a veterinary medical expert system,erinary College. The hospital data-base system has been collecting on-line medical data for almost ten years. The prototype being developed is comparing several knowledge acquisition techniques from data which limit the number of rules used for diagnosis. Along with this approach, a fuzzy relational
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A data model, knowledge base, and natural language processing for sharing a large statistical databs are faced with difficulties in identifying and finding the data they need..In order to obtain data descriptions independent of specific purposes, this paper proposes an object-oriented data design, which distinguishes between data conceptually obtainable and data actually stored in a database, and
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Precision-time tradeoffs: A paradigm for processing statistical queries on databases,he database is used for statistical analysis as well as operational purposes, for some types of queries a large part of the database may be required to compute the answer. This may lead to a data access bottleneck, caused by the excessive number of disk accesses needed to get the data into primary m
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