Search results for author:"S K. M. Wong"
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Journal of the American Society for Information Science Vol. 49, No. 5 (1998) pp. 455–70
Describes a bottom-up procedure for discovering multivalued dependencies in observed data without knowing a priori the relationships among the attributes. The proposed algorithm is an application of technique designed for learning conditional...
Journal of the American Society for Information Science Vol. 41, No. 5 (1990) pp. 334–41
Discusses query formulation in information retrieval systems within the framework of adaptive linear models. User preference is emphasized, acceptable ranking strategies are described, query formulation and inductive learning are discussed,...