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Many Sorted Observational Calculi for Multi-Relational Data Mining
Hong Kong, China December 18-December 22
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICDMW.2006.106Sixth IEEE International Conference o ...
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Jan Rauch, "Many Sorted Observational Calculi for Multi-Relational Data Mining," Data Mining Workshops, International Conference on, pp. 417-422, Sixth IEEE International Conference on Data Mining - Workshops (ICDMW'06), 2006.
 
 
BibTex
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@article{ 10.1109/ICDMW.2006.106,
author = {Jan Rauch},
title = {Many Sorted Observational Calculi for Multi-Relational Data Mining},
journal ={Data Mining Workshops, International Conference on},
volume = {0},
year = {2006},
isbn = {0-7695-2702-7},
pages = {417-422},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICDMW.2006.106},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Data Mining Workshops, International Conference on
TI - Many Sorted Observational Calculi for Multi-Relational Data Mining
SN - 0-7695-2702-7
SP417
EP422
A1 - Jan Rauch,
PY - 2006
KW - null
VL - 0
JA - Data Mining Workshops, International Conference on
ER -
 
Jan Rauch, University of Economics, Prague
Observational calculi approved as a tool for study logical properties of association rules. They are defined by modifications of classical predicate calculi. Many sorted observational calculi are introduced as a modification of classical many sorted predicate calculi. It is argued that such defined calculi are suitable for relational data mining. Results on decidability of these calculi are presented. Further research directions are outlined.
Citation:
Jan Rauch, "Many Sorted Observational Calculi for Multi-Relational Data Mining," icdmw, pp.417-422, Sixth IEEE International Conference on Data Mining - Workshops (ICDMW'06), 2006
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