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Titlebook: Data Mining for Service; Katsutoshi Yada Book 2014 Springer-Verlag Berlin Heidelberg 2014 Data Mining.Domain Knowledge.Large Database.Sens

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發(fā)表于 2025-3-25 05:32:24 | 只看該作者
Studies in Big Datahttp://image.papertrans.cn/d/image/262952.jpg
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發(fā)表于 2025-3-26 07:50:05 | 只看該作者
Paul van de Laar,Arie van der Schoore introduce a new approach to dimensionality reduction for text retrieval. According to Zipf’s law, the majority of indexing terms occurs only in a small number of documents. Our new algorithm exploits this observation to compute a dimensionality reduction. It replaces rare terms by computing a vect
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發(fā)表于 2025-3-26 08:54:29 | 只看該作者
Comment tremble la main invisibleanel data sets frequently appeared in the study of Marketing, Economics, and many other social sciences. An important panel data analysis task is to analyze and predict a variable of interest. As in social sciences, the number of collected data records for each subject is usually not large enough to
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發(fā)表于 2025-3-26 15:58:53 | 只看該作者
Commentar zur Pharmacopoea Germanica that can be predicted from the text of publication abstracts from those, for successes in prediction are spurious. The significance of relationships between textual data and information that is represented in standardized ontologies and protein domains is evaluated using a density-based approach. T
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