J. Surma. A similarity measure for aggregation taxonomies. In ECML Workshop Notes on Case-Based Learning: Beyond Classification of Feature Vectors, Prague, 1997. Home/Search Document Details and Download
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Structured Cases, Trees and Efficient Retrieval - Ricci, Senter (1998) (Correct)
....cases. We believe that notwithstanding this limitation a large class of real situations can still be managed. For instance, Jones et al. 7] represent cases with trees in a CBR system for intelligent retrieval of historical meteorological data, and Surma describes aggregation taxonomies with trees [16]. Moreover labeled trees are at the base of object oriented representation languages and document representation in information retrieval. We have designed and implemented a set of efficient algorithms for case retrieval from a case base of trees labeled on both nodes and edges. These algorithms ....
J. Surma. A similarity measure for aggregation taxonomies. In ECML Workshop Notes on Case-Based Learning: Beyond Classification of Feature Vectors, Prague, 1997.
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