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Relational Pattern and Subgroup Discovery in CAD documents
| Content Provider | Semantic Scholar |
|---|---|
| Author | Záková, Monika Kremen, Petr García-Sedano, Javier A. Tissot, Cyril Masia Lavrac, Nada Zelezný, Filip Molina, Javier |
| Copyright Year | 2007 |
| Abstract | In our recent work [1], we have dealt with frequent pattern discovery in CAD designs using a novel approach to integration of hierarchical background knowledge to relational data mining. This paper extends the previous work by applying the methodology of subgroup discovery which first seeks frequent structural patterns in CAD designs and then discovers interesting (large and class-biased) design subgroups defined in terms of the frequent patterns its members contain. Besides the two mentioned kinds of data mining results, further categories of patterns will be required to mine in the present application domain. The large amount of generated results of each kind calls for establishing an efficient pattern management and search functionality. For this purpose we elaborate an ontology of relational data mining results. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://ida.felk.cvut.cz/cgi-bin/docarc/public.pl/document/87/znalosti2007.pdf |
| Alternate Webpage(s) | http://labe.felk.cvut.cz/~zelezny/pubs/znalosti07.pdf |
| Alternate Webpage(s) | http://ida.felk.cvut.cz/zelezny/pubs/znalosti07.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |