DocumentCode
3260232
Title
Many Sorted Observational Calculi for Multi-Relational Data Mining
Author
Rauch, Jan
Author_Institution
Dept. of Knowledge & Inf. Eng., Econ. Univ., Prague
fYear
2006
fDate
Dec. 2006
Firstpage
417
Lastpage
422
Abstract
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
Keywords
data mining; association rules; multirelational data mining; sorted observational calculi; Association rules; Conferences; Data analysis; Data engineering; Data mining; Knowledge engineering; Relational databases; Spatial databases;
fLanguage
English
Publisher
ieee
Conference_Titel
Data Mining Workshops, 2006. ICDM Workshops 2006. Sixth IEEE International Conference on
Conference_Location
Hong Kong
Print_ISBN
0-7695-2702-7
Type
conf
DOI
10.1109/ICDMW.2006.106
Filename
4063663
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