Title :
Knowledge discovery from diagrammatically represented data
Author :
Anderson, Michael
Author_Institution :
Dept. of Comput. & Inf. Sci., Fordham Univ., Bronx, NY, USA
Abstract :
Knowledge discovery 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 artificial 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 detailed
Keywords :
SQL; data mining; diagrams; knowledge representation; software agents; visual programming; Diagrammatic SQL; autonomous artificially intelligent agent; diagrammatic data mining; diagrammatic information; diagrammatically represented data; knowledge discovery; Automobiles; Buildings; Computational Intelligence Society; Data mining; Database languages; Gray-scale; Humans; Information retrieval; Information systems; Intelligent agent;
Conference_Titel :
Data Mining, 2001. ICDM 2001, Proceedings IEEE International Conference on
Conference_Location :
San Jose, CA
Print_ISBN :
0-7695-1119-8
DOI :
10.1109/ICDM.2001.989496
