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In this paper, we look at the need for categorizing numeric data and several methods for doing so. We concentrate on the use of <jats:italic>generalization\u2010based memory<\/jats:italic>, a memory organization where actual examples are stored along with generalizations, which leads to a <jats:italic>generalization\u2010based categorization<\/jats:italic> algorithm. We also consider how to use a <jats:italic>number heuristic<\/jats:italic>, looking for gaps. These methods have been implemented in the UNIMEM computer system. Examples are presented of these algorithms categorizing data about the states of the United States.<\/jats:p>","DOI":"10.1207\/s15516709cog0903_1","type":"journal-article","created":{"date-parts":[[2005,7,18]],"date-time":"2005-07-18T01:03:58Z","timestamp":1121648638000},"page":"285-308","update-policy":"http:\/\/dx.doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":16,"title":["Categorizing Numeric Information for Generalization*"],"prefix":"10.1111","volume":"9","author":[{"given":"Michael","family":"Lebowitz","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2010,2,11]]},"reference":[{"key":"e_1_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10683-007-9168-y"},{"key":"e_1_2_1_3_1","volume-title":"Pattern\u2010directed inference","author":"Buchanan B. 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