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Titlebook: Machine Learning and Data Mining in Pattern Recognition; Second International Petra Perner Conference proceedings 2001 Springer-Verlag Berl

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樓主: FARCE
31#
發(fā)表于 2025-3-26 21:58:42 | 只看該作者
Technology of Text Miningmation seeking process in which documents are selected from a dynamic text stream. Text mining is a process of analysing text to extract information from it for particular purposes. Text categorisation means the process of clustering similar documents from a large document set. All these terms have
32#
發(fā)表于 2025-3-27 03:39:58 | 只看該作者
33#
發(fā)表于 2025-3-27 08:35:09 | 只看該作者
Technology of Text Mininge difference depends on the fact if pictures, tables, figures, and formulas are included or not. The common problem is to find the desired piece of information, a trend, or an undiscovered pattern from these sources. The problem is not a new one. Traditionally the problem has been considered under t
34#
發(fā)表于 2025-3-27 11:27:03 | 只看該作者
Evaluation of Clinical Relevance of Clinical Laboratory Investigations by Data Miningl blood of patients. For the detection of these parameters, a variety of well established and new fashioned immunoassays are available. Since these test kits have been shown to yield highly different results of unknown clinical significance, we have compared a selection of commercial test kits and h
35#
發(fā)表于 2025-3-27 15:18:26 | 只看該作者
Temporal Abstractions and Case-Based Reasoning for Medical Course Data: Two Prognostic Applicationstraction and temporal abstraction) with Case-based Reasoning. Recently we have started to apply the same method in the domain of Geomedicine, namely for the prognosis of the temporal spread of diseases, mainly of influenza, where just one of the two abstraction steps is necessary, that is the tempor
36#
發(fā)表于 2025-3-27 20:03:18 | 只看該作者
Are Case-Based Reasoning and Dissimilarity-Based Classification Two Sides of the Same Coin? A new case is interpreted based on its similarity to cases in the case base. The closest case with its associated result is selected and presented as output of the system. Recently, Dissimilarity-based Classification has been introduced due to the curse of dimensionality of feature spaces and the p
37#
發(fā)表于 2025-3-27 23:02:38 | 只看該作者
38#
發(fā)表于 2025-3-28 04:16:51 | 只看該作者
39#
發(fā)表于 2025-3-28 06:54:58 | 只看該作者
Learning XML Grammarsnitions (DTDs) of XML documents in situations either when the original DTD is missing or when a DTD should be (re) designed or when a DTD should be restricted to a more user-oriented view on a subset of the (given) DTD. The usefulness of such an approach is underlined by the importance of knowing ap
40#
發(fā)表于 2025-3-28 13:26:36 | 只看該作者
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