AI clustering techniques: a new approach in horizontal fragmentation of classes with complex attributes and methods in object oriented databases.
Darabant, Adrian ; Câmpan, Alina ; Moldovan, Grigor ; Grebla, Horea
Acta Universitatis Apulensis. Mathematics - Informatics, Tome 8 (2004), p. 109-128 / Harvested from The Electronic Library of Mathematics
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Publié le : 2004-01-01
EUDML-ID : urn:eudml:doc:126650 
@article{05036659,
     title = {AI clustering techniques: a new approach in horizontal fragmentation of classes with complex attributes and methods in object oriented databases.},
     journal = {Acta Universitatis Apulensis. Mathematics - Informatics},
     volume = {8},
     year = {2004},
     pages = {109-128},
     zbl = {1099.68612},
     language = {en},
     url = {http://dml.mathdoc.fr/item/05036659}
}

Darabant, Adrian; Câmpan, Alina; Moldovan, Grigor; Grebla, Horea. AI clustering techniques: a new approach in horizontal fragmentation of classes with complex attributes and methods in object oriented databases.. Acta Universitatis Apulensis. Mathematics - Informatics, Tome 8 (2004) pp. 109-128. http://gdmltest.u-ga.fr/item/05036659/