@inproceedings{f4526534c5194cea99fbd4e3e47d2842,
title = "Local Induction of Decision Trees: Towards Interactive Data Mining",
abstract = "Decision trees are an important data mining tool with many applications. Like many classification techniques, decision trees process the entire data base in order to produce a generalization of the data that can be used subsequently for classification. Large, complex data bases are not always amenable to such a global approach to generalization. This paper explores several methods for extracting data that is local to a query point, and then using the local data to build generalizations. These adaptively constructed neighborhoods can provide additional information about the query point. Three new algorithms are presented, and experiments using these algorithms are described.",
author = "Truxton Fulton and Simon Kasif and Steven Salzberg and David Waltzt",
note = "Publisher Copyright: {\textcopyright} 1996 AAAI (www.aaai.org). All Rights Reserved.; 2nd International Conference on Knowledge Discovery and Data Mining, KDD 1996 ; Conference date: 02-08-1996 Through 04-08-1996",
year = "1996",
language = "English (US)",
series = "Proceedings - 2nd International Conference on Knowledge Discovery and Data Mining, KDD 1996",
publisher = "AAAI Press",
pages = "14--19",
editor = "Evangelos Simoudis and Jiawei Han and Fayyad, {Usama M.}",
booktitle = "Proceedings - 2nd International Conference on Knowledge Discovery and Data Mining, KDD 1996",
}