TY - GEN
T1 - Knowledge discovery in databases
T2 - 8th International Symposium on Methodologies for Intelligent Systems, ISMIS 1994
AU - Cheung, David Wai Lok
AU - Fu, Ada Wai Chee
AU - Han, Jiawei
N1 - Funding Information:
A key in Basic AO Induction is the attribute-oriented concept lree ascension for concept generalization, a concept hierarchy is used to represent background * Email: dcheung@csd.hku.hk ** The research of the third author was supported in part by grants from the Natural Sciences and Engineering Research Council of Canada and the Centre for Systems Science of Simon Fraser University.
Publisher Copyright:
© Springer-Verlag Berlin Heidelberg 1994.
PY - 1994
Y1 - 1994
N2 - An attribute-oriented induction has been developed in the previous study of knowledge discovery in databases. A concept tree ascension technique is applied in concept generalization. In this paper, we extend the background knowledge representation from an unconditional non-rule-based concept hierarchy to a rule-based concept hierarchy, which enhances greatly its representation power. An efficient rulebased attribute-oriented induction algorithm is developed to facilitate learning with a rule-based concept graph. An information loss problem which is special to rule-based induction is described together with a solution suggested.
AB - An attribute-oriented induction has been developed in the previous study of knowledge discovery in databases. A concept tree ascension technique is applied in concept generalization. In this paper, we extend the background knowledge representation from an unconditional non-rule-based concept hierarchy to a rule-based concept hierarchy, which enhances greatly its representation power. An efficient rulebased attribute-oriented induction algorithm is developed to facilitate learning with a rule-based concept graph. An information loss problem which is special to rule-based induction is described together with a solution suggested.
KW - Attribute-oriented induction
KW - Knowledge discovery in databases
KW - Learning and adaptive systems
KW - Rule-based concept generalization
UR - http://www.scopus.com/inward/record.url?scp=85011799983&partnerID=8YFLogxK
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U2 - 10.1007/3-540-58495-1_17
DO - 10.1007/3-540-58495-1_17
M3 - Conference contribution
AN - SCOPUS:85011799983
SN - 9783540584957
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 165
EP - 173
BT - Methodologies for Intelligent Systems - 8th International Symposium, ISMIS 1994, Proceedings
A2 - Ras, Zbigniew W.
A2 - Zemankova, Maria
PB - Springer
Y2 - 16 October 1994 through 19 October 1994
ER -