✦ LIBER ✦

Object aggregation and cluster identification: a knowledge discovery approach

✍ Scribed by X.-H. Hu

Publisher: Elsevier Science
Year: 1994
Tongue: English
Weight: 416 KB
Volume: 7
Category: Article
ISSN: 0893-9659
DOI: 10.1016/0893-9659(94)90006-x

No coin nor oath required. For personal study only.

✦ Synopsis

method for object aggregation and cluster identification has been proposed for knowledge discovery in databases. By integrating conceptual clustering and machine learning (especially learning-from-examples) paradigms, the method classifies the data into different clusters, extracts the characteristics of each cluster, and discovers knowledge rules based on the relationships among different clusters. Different kinds of knowledge rules, including hierarchical, equivalence and inheritance rules can be discovered efficiently.

Keywords-Knowledge

discovery in databases, Conceptual clustering.

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