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Knowledge Discovery from Diagrammatically Represented Data
San Jose, California November 29-December 02
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICDM.2001.989496First IEEE International Conference o ...
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Michael Anderson, "Knowledge Discovery from Diagrammatically Represented Data," Data Mining, IEEE International Conference on, pp. 19, First IEEE International Conference on Data Mining (ICDM'01), 2001.
 
 
BibTex
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@article{ 10.1109/ICDM.2001.989496,
author = {Michael Anderson},
title = {Knowledge Discovery from Diagrammatically Represented Data},
journal ={Data Mining, IEEE International Conference on},
volume = {0},
year = {2001},
isbn = {0-7695-1119-8},
pages = {19},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICDM.2001.989496},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Data Mining, IEEE International Conference on
TI - Knowledge Discovery from Diagrammatically Represented Data
SN - 0-7695-1119-8
SP
EP
A1 - Michael Anderson,
PY - 2001
VL - 0
JA - Data Mining, IEEE International Conference on
ER -
 
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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