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Titlebook: Innate Lymphoid Cells; Xiao-Hong Sun Book 2022 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature

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楼主: FAULT
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José Alberola-Ilaorks, ruled-based, decision-tree, andfuzzy-logic methods, and then examines the suitability of theseapproaches to financial data mining. The book focuses specifically onrelational data mining (RDM), which is a learning method able to learnmore expressive rules than other symbolic approaches. RDM is
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Vincent Peng,Natalia Jaeger,Marco Colonnaational data mining with the analysis of statistical significanceof discovered rules. This reduces the search space and speeds up thealgorithms. The book also p978-1-4757-7332-3978-0-306-47018-9Series ISSN 0893-3405
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Hergen Spitsational data mining with the analysis of statistical significanceof discovered rules. This reduces the search space and speeds up thealgorithms. The book also p978-1-4757-7332-3978-0-306-47018-9Series ISSN 0893-3405
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Arundhoti Das,Christelle Harly,Yi Ding,Avinash Bhandoola here. The ICSD contains about 120,000 entries (March 2009) of fully determined crystal structures. This chapter gives a detailed description of data collection, the contents of the data fields, data evaluation, and finally search the functionality of the ICSD database.
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Anna Sliz,Wayne M. Yokoyamal inefficiency and haverather limited tools for processing numerical data. ..Data Mining in Finance. introduces a new approach, combiningrelational data mining with the analysis of statistical significanceof discovered rules. This reduces the search space and speeds up thealgorithms. The book also p
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