变色龙 发表于 2025-3-25 04:34:11

J. Stegmann,G. Grohmannhnung’, zur ‘Erlösrechnung’ etc. hergestellt. Allgemeines Ziel dieses Kapitels ist es, die Querbezüge zu den drei erstgenannten Begriffen aufzugreifen, deren Inhalte zu konkretisieren und zu erweitern bzw. Lösungsansätze für darin enthaltene Problemstellungen zu entwickeln. Das gleiche Ziel wird im

Lignans 发表于 2025-3-25 09:08:36

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BILIO 发表于 2025-3-25 13:32:24

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Mirage 发表于 2025-3-25 17:05:47

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incarcerate 发表于 2025-3-25 19:59:39

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缓和 发表于 2025-3-26 01:44:39

Factor Analytic Approach to Transitive Text Mining using Medline Descriptorsrms in close neighbourhood, being separated by a small number of terms only..It is concluded that in literature-based discovery processes the decomposition methods combined with human inspection of the created factors may play an important role provided MeSH descriptors are analysed.

半球 发表于 2025-3-26 05:56:24

1568-1300 ud’s phenomenon and dietary fish oil, the field of literature-based discovery (LBD) was born. During the subsequent two decades a steady stream of researchers have published articles about LBD and the field has made steady progress in laying foundations and creating an identity. LBD is an inherently

Temporal-Lobe 发表于 2025-3-26 11:57:13

Book 2008 During the subsequent two decades a steady stream of researchers have published articles about LBD and the field has made steady progress in laying foundations and creating an identity. LBD is an inherently multi-disciplinary enterprise where collaborations between the information and biomedical sc

摇摆 发表于 2025-3-26 14:08:18

Literature-Based Discovery? The Very Ideaindependently of specific computer techniques that may be used to assist or implement it. The seeds of most of the basic concepts of LBD can be seen within the following classic exemplar of complementarity from a century ago that was of extraordinary importance to science.

RADE 发表于 2025-3-26 20:35:32

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查看完整版本: Titlebook: Literature-based Discovery; Peter Bruza,Marc Weeber Book 2008 Springer-Verlag Berlin Heidelberg 2008 data mining.knowledge.knowledge disco