Concept Formation by Incremental Conceptual Clustering
Proceedings of the Eleventh International Joint Conference on Artificial Intelligence. Machine Learning. Pages 831-835.
Abstract
Incremental conceptual clustering is an important area of machine learning. It is concerned with summarizing data in a form of concept hierarchies, which will eventually ease the problem of knowledge acqulSttlon for knowledge-based systems. In this paper we have described INC, a program that generates a hierarchy of concept descriptions incrementally. INC searches a space of classification hierarchies in both top-down and bottom-up fashion. The system was evaluated along four dimensions and tested in two domains: universities and countries.
@inproceedings{ijcai1989p133,
title = {Concept Formation by Incremental Conceptual Clustering},
author = {Hadzikadic, Mirsad and Yun, David Y. Y.},
booktitle = {Proceedings of the Eleventh International Joint Conference on
Artificial Intelligence, {IJCAI-89}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {N. S. Sridharan},
pages = {831--835},
year = {1989},
month = {8},
note = {Machine Learning},
url = {https://ijcai.org/proceedings/1989/133},
}
TY - CPAPER TI - Concept Formation by Incremental Conceptual Clustering AU - Hadzikadic, Mirsad AU - Yun, David Y. Y. T2 - Proceedings of the Eleventh International Joint Conference on Artificial Intelligence, IJCAI-89 PB - International Joint Conferences on Artificial Intelligence PY - 1989 SP - 831 EP - 835 UR - https://ijcai.org/proceedings/1989/133 ER -Copied
Machine-readable versions of this paper, for tools and AI agents: