{"type":"ScholarlyArticle","title":"Concept Formation by Incremental Conceptual Clustering","authors":[{"name":"Mirsad Hadzikadic","slug":"mirsad-hadzikadic","given":"Mirsad","family":"Hadzikadic","affiliation":""},{"name":"David Y. Y. Yun","slug":"david-y-y-yun","given":"David Y. Y.","family":"Yun","affiliation":""}],"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.","doi":null,"url":"https://ijcai.org/proceedings/1989/133","pdf":"https://ijcai.org/proceedings/1989/0133.pdf","markdown":"https://ijcai.org/proceedings/1989/133.md","bibtex":"https://ijcai.org/proceedings/1989/bibtex/133","volume":{"slug":"1989","title":"Proceedings of the Eleventh International Joint Conference on Artificial Intelligence","short_title":"IJCAI 1989","url":"https://ijcai.org/proceedings/1989/","year":1989,"location":"Detroit, Michigan, USA","dates":"August 20-25 1989","editors":"N. S. Sridharan","isbn":"","publisher":"International Joint Conferences on Artificial Intelligence","doi_prefix":""},"section":"Machine Learning","track":"Machine Learning","number":133,"pages":{"first":831,"last":835},"keywords":[],"videos":[],"references":[],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}