Using Visualization to Support Data Mining of Large Existing Databases

作者: Daniel A. Keim , Hans -Peter Kriegel

DOI: 10.1007/BFB0021156

关键词: Query by ExampleWeb query classificationObject Query LanguageSargableQuery optimizationData structureRDF query languageQuery languageViewComputer scienceOnline aggregationQuery expansionRanking (information retrieval)Information retrievalSpatial queryWeb search queryData miningDatabase

摘要: In this paper. we present ideas how visualization technology can be used to improve the difficult process of querying very large databases. With our VisDB system, try provide visual support not only for query specification process. but also evaluating results and. thereafter, refining accordingly. The main idea system is represent as many data items possible by pixels display device. By arranging and coloring according relevance query, user gets a impression resulting set its query. Using an interactive interface, may change dynamically receives immediate feedback representation set. using multiple windows different parts each part and, therefore, easier understand overall result. To complex queries, introduce notion ‘approximate joins’ which allow find that approximately fulfill join conditions. We technique extended interoperation heterogeneous Finally, discuss performance problems are caused interfacing existing database systems solve these structures supporting multidimensional search database.

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