SEARCH

SEARCH BY CITATION

Literature

  • Carpineto, C., & Romano, G. (2004). Concept data analysis: Theory and applications. West Sussex: John Wiley & Sons Ltd.
  • Feger, H., & De Boeck, P. (1993). Categories and concepts: introduction to data analysis. In I. V.Mechelen, J.Hampton, R. S.Michalski, & P.Theuns (Eds.), Categories and concepts: Theoretical views and inductive data analysis (pp. 203223). London: Academic press.
  • Hartigan, J. A. (1967). Representation of similarity matrices by trees. Journal of the American Statistical Association, 62 (320), 11401158.
  • Houston, A. L., Chen, H., Schatz, B. R., Hubbard, S. M., Sewell, R. R., & Ng, T. D. (2000). Exploring the use of concept spaces to improve medical information retrieval. Decision Support Systems, 30 (2), 171186.
  • Keil, F. C. (1989). Concepts, kinds, and cognitive development. Cambridge, MA: The MIT Press.
  • Kruskal, J. B. (1964a). Multidimensional scaling by optimizing goodness of fit to a nonmetric hypothesis. Psychometrika, 29 (1), 127.
  • Kruskal, J. B. (1964b). Nonmetric multidimensional scaling: A numerical method. Psychometrika, 29 (2), 115129.
  • Kruskal, J. B., & Wish, M. (1978). Multidimensional scaling. Beverly Hills, CA: Sage Publications, Inc.
  • Murphy, G. L., & Medin, D. L. (1985). The role of theories in conceptual coherence. Psychological Review, 92 (3), 289316.
  • Medin, D. L. (1989). Concepts and conceptual structure. American Psychologist, 44 (12), 14691481.
  • Megaputer Intelligence, Inc. (2002). PolyAnalyst (version5.0.) [Computer software]. Bloomington, IN. 1994–2002.
  • Murphy, G. L. (1993). Theories and concept formation. In I. V.Mechelen, J.Hampton, R. S.Michalski, & P.Theuns (Eds.), Categories and concepts: Theoretical views and inductive data analysis (pp. 173200). London: Academic Press.
  • Priss, U. (2006). Formal concept analysis in information science. In B.Cronin (Ed.), Annual review of information science and technology (pp. 521543). Medford, NJ: Information Today, Inc.
  • Quillian, M. R. (1968). Semantic memory. In M.Minsky (Ed.), Semantic Information processing (pp. 216270). Cambridge, MA: The MIT Press.
  • Romesburg, H. C. (1984). Cluster analysis for researchers. Belmont, CA: Lifetime Learning Publications.
  • SPSS Inc. (2004). SPSS for Windows (version 14.0) [Computer Software]. Chicago, IL: SPSS Inc.
  • Tullis, T. & Wood, L. (n.d). How many users are enough for a card-sorting study? Retrieved January 7, 2007 from http://home.comcast.net/∼tomtullis/publications/UPA2004CardSorting.pdf
  • U.S. National Library of Medicine. (2006). UMLS knowledge sources: July Release 2006AC Documentation. Retrieved September 27, 2006 from http://www.nlm.nih.gov/research/umls/documentation.html
  • Wille, R. (1992). Concept lattices and conceptual knowledge systems. In F.Lehmann (Ed.), Semantic networks in artificial intelligence (pp. 493515). Oxford: Pergamon.