A Model of Summary Data and its Applications in Statistical Databases
作者： Meng Chang Chen , Lawrence McNamee , Michel Melkanoff
DOI: 10.1007/BFB0027524
关键词:
摘要: The summary (statistics) data model described herein is an extension of the relational model. concept category (type or class) and additivity property some statistical functions form basis this In approach shields details a database instance from users, plays important role in deriving new statistics data. Statistics trinary tuple consisting 〈statistical function, category, summary〉. allows to be generated without having access original database. meta-knowledge summarized by detailed information typically stored conventional Unfortunately, deciding whether derivable set categories, general, NP-hard. proposed generating can resolve intractability problem derivation. derivation within relation on multi-relations investigated, efficiency correctness are guaranteed when updated obtained. Finally potential applications security concerns applying also discussed.
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