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First IEEE International Conference on Data Mining (ICDM'01)
Knowledge Discovery from Diagrammatically Represented Data
San Jose, California
November 29-December 02
ISBN: 0-7695-1119-8
Knowledge discover from diagrammatic data can be facilitated by a language that permits queries on such data. Such a language (diagrammatic SQL) is being developed to expedite the development of an autonomous artificially intelligent agent with a capacity to deal with diagrammatic information. This language is described and examples of how it can be used to facilitate diagrammatic data mining are detaled
Citation:
Michael Anderson, "Knowledge Discovery from Diagrammatically Represented Data," icdm, pp.19, First IEEE International Conference on Data Mining (ICDM'01), 2001
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