Title :
Object clustering for scheme learning
Author :
Shioya, Isamu ; Miura, Takao
Author_Institution :
Sanno Coll., Japan
Abstract :
We propose a novel technique to learn concepts from a large set of objects by means of clustering techniques. Unlike conventional approaches, we utilize database scheme knowledge and specify what clusters mean by linking attribute-grouping to object clustering. We propose some sophisticated algorithms (and some extensions) and show how useful they are
Keywords :
data mining; deductive databases; learning (artificial intelligence); object-oriented databases; pattern clustering; attribute-grouping; clustering techniques; database scheme knowledge; object clustering; scheme learning; Clustering algorithms; DC generators; Data mining; Databases; Educational institutions; Pattern recognition;
Conference_Titel :
Tools with Artificial Intelligence, 1998. Proceedings. Tenth IEEE International Conference on
Conference_Location :
Taipei
Print_ISBN :
0-7803-5214-9
DOI :
10.1109/TAI.1998.744739
