Exploiting Background Knowledge for Knowledge-Intensive Subgroup Discovery

Atzmüller, Martin; Puppe, Frank; Buscher, Hans-Peter

Exploiting Background Knowledge for Knowledge-Intensive Subgroup Discovery

Martin Atzmüller, Frank Puppe, Hans-Peter Buscher

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Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence. Pages 647-651.

Abstract

In general, knowledge-intensive data mining methods exploit background knowledge to improve the quality of their results. Then, in knowledge-rich domains often the interestingness of the mined patterns can be increased significantly. In this paper we categorize several classes of background knowledge for subgroup discovery, and present how the necessary knowledge elements can be modelled. Furthermore, we show how subgroup discovery methods benefit from the utilization of background knowledge, and discuss its application in an incremental process-model. The context of our work is to identify interesting diagnostic patterns to supplement a medical documentation and consultation system. We provide a case study in the medical domain, using a case base from a realworld application.

Martin Atzmüller, Frank Puppe, and Hans-Peter Buscher. 2005. Exploiting Background Knowledge for Knowledge-Intensive Subgroup Discovery. In Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, IJCAI-05. IJCAI, 647–651. https://ijcai.org/proceedings/2005/145

@inproceedings{ijcai2005p145,
  title     = {Exploiting Background Knowledge for Knowledge-Intensive Subgroup Discovery},
  author    = {Atzmüller, Martin and Puppe, Frank and Buscher, Hans-Peter},
  booktitle = {Proceedings of the Nineteenth International Joint Conference on
               Artificial Intelligence, {IJCAI-05}},
  publisher = {International Joint Conferences on Artificial Intelligence},
  pages     = {647--651},
  year      = {2005},
  url       = {https://ijcai.org/proceedings/2005/145},
}

TY  - CPAPER
TI  - Exploiting Background Knowledge for Knowledge-Intensive Subgroup Discovery
AU  - Atzmüller, Martin
AU  - Puppe, Frank
AU  - Buscher, Hans-Peter
T2  - Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, IJCAI-05
PB  - International Joint Conferences on Artificial Intelligence
PY  - 2005
SP  - 647
EP  - 651
UR  - https://ijcai.org/proceedings/2005/145
ER  -