道学气
发表于 2025-3-27 00:58:34
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
闲逛
发表于 2025-3-27 01:58:40
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elastic
发表于 2025-3-27 07:50:59
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玛瑙
发表于 2025-3-27 11:32:21
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
Accolade
发表于 2025-3-27 17:24:07
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泄露
发表于 2025-3-27 20:21:14
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
Abjure
发表于 2025-3-28 01:19:39
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使虚弱
发表于 2025-3-28 03:13:27
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减至最低
发表于 2025-3-28 09:14:43
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.
邪恶的你
发表于 2025-3-28 14:02:16
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