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Titlebook: Advances in Data Mining: Applications and Theoretical Aspects; 15th Industrial Conf Petra Perner Conference proceedings 2015 Springer Inter

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發(fā)表于 2025-3-21 17:17:00 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Advances in Data Mining: Applications and Theoretical Aspects
期刊簡(jiǎn)稱15th Industrial Conf
影響因子2023Petra Perner
視頻videohttp://file.papertrans.cn/148/147672/147672.mp4
發(fā)行地址Up-to-date results.Fast track conference proceedings.State-of-the-art report.Includes supplementary material:
學(xué)科分類Lecture Notes in Computer Science
圖書(shū)封面Titlebook: Advances in Data Mining: Applications and Theoretical Aspects; 15th Industrial Conf Petra Perner Conference proceedings 2015 Springer Inter
影響因子.This book constitutes the refereed proceedings of the 15th Industrial Conference on Advances in Data Mining, ICDM 2015, held in Hamburg, Germany, in July 2015..The 16 revised full papers presented were carefully reviewed and selected from numerous submissions. The topics range from theoretical aspects of data mining to applications of data mining, such as in multimedia data, in marketing, in medicine and agriculture, and in process control, industry and society..
Pindex Conference proceedings 2015
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Retail Store Segmentation for Target Marketingse persons who would be tempted to emphasize only its imperfections should read the correspondence exchanged between Cantor and Dedekind at the end of the nineteenth century; they would then realize how difficult it was, even for an outstanding man, the creator of the set theory, to propose impeccab
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f‘s career and theology. Fresh and controversial approach to.The Lollards. offers a brief but insightful guide to the entire history of England‘s only native medieval heretical movement.Beginning with its fourteenth century origins in the theology of the Oxford professor, John Wyclif, Richard Rex ex
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and takes issue with recent attempts to restore Lollardy to its once conventional position as a ‘cause‘ of the Reformation..Powerful and persuasive, .The Lollards. is essential reading for anyone interested in
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Konfliktregelung durch Category Management,ted data quality features performed better than minimally processed data sets in 29/38 and equally in 9/38 tests. Comparison to a competing method of preprocessing combinations with the first two datasets showed that constructed features had slightly lower prediction performance, but they were clear
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