(Enter summary)
Abstract: Concept hierarchies organize data and concepts in hierarchical forms or in certain partial order, which
helps expressing knowledge and data relationships in databases in concise, high level terms, and thus, plays
an important role in knowledge discovery processes. Concept hierarchies could be provided by knowledge
engineers, domain experts or users, or embedded in some data relations. However, it is sometimes desirable
to automatically generate some concept hierarchies or adjust some given... (Update)
Context of citations to this paper: More
...attribute values. Possible solutions for discretization are # histogram based discretization, # discretization based on concept hierarchies [13], # entropy based discretization [9] Considering only the histogram based approach numeric values could be replaced by a...
.... learning task, which therefore often needs to be dynamically refined based on data distribution statistics for desired learning results [26]. For example, if the learning requirement is to analyze the birth place of the students of Simon Fraser University, the level 1 (top...
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BibTeX entry: (Update)
J. Han & F. Yongjian, "Dynamic Generation and Refinement of Concept Hierarchies for Knowledge Discovery in Databases." In AAAI Workshop on Knowledge Discovery in Databases, July 1994. http://citeseer.ist.psu.edu/article/han94dynamic.html More
@inproceedings{ han94dynamic,
author = "Jiawei Han and Yongjian Fu",
title = "Dynamic Generation and Refinement of Concept Hierarchies for Knowledge Discovery in Databases",
booktitle = "{KDD} Workshop",
pages = "157-168",
year = "1994",
url = "citeseer.ist.psu.edu/article/han94dynamic.html" }
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