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 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||