Titlebook: Advances in Knowledge Discovery and Management; Volume 2 Fabrice Guillet,Gilbert Ritschard,Djamel Abdelkade Book 2012 Springer-Verlag Berli

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Classification of Orbital Tumors,f interest to allow the user to add knowledge in the form of (di)similarity constraints among objects, when those appear either too close or too far in the observation space. In this paper we propose three kinds of constraints and present a resolution method that derives from PCA. Experiments have b

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Robert Folberg MD,Jacob Pe’er MDrvey databases, data streams or sensor readings. Gradual patterns highlight complex order correlations of the form .. Only recently algorithms have appeared to mine efficiently gradual rules. However, due to the complexity of mining gradual rules, these algorithms cannot yet scale on huge real world

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Jean M. Bruch MD,Nathaniel S. Treister DMD complexity of the medical knowledge and the use of technical terms hinder the communication of such information. In this work we have analyzed and characterized the health consumer terminology in the breast cancer field in order to provide health services more adapted to their language and to their

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Clinical Oral Medicine and Pathologye it more manageable is to constrain the initial query with additional predicates. The approach presented in this paper relies on the identification of correlation links between predicates related to attributes of the relation of interest. Thus, the initial query is strengthened by additional predic

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1860-949X the last decade, Knowledge Discovery and Management (KDM or, in French, EGC for Extraction et Gestion des connaissances) has been an intensive and fruitful research topic in the French-speaking scientific community. In 2003, this enthusiasm for KDM led to the foundation of a specific French-speaking

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