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OCoLC |
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|a 1302266331
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|a 9787115546678
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|z (OCoLC)1302266331
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|a UAMI
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|a Needham, Mark,
|e author.
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1 |
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|6 880-99
|a <>.
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|a 1st edition.
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|b Posts & Telecom Press,
|c 2020.
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|a 1 online resource (213 pages)
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|a text
|b txt
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|a text file
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|b 12.16
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|f Copyright © Mark Needham and Amy E. Hodler
|g 2019
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|a Made available through: Safari, an O'Reilly Media Company.
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|a Online resource; Title from title page (viewed September 1, 2020).
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|a O'Reilly
|b O'Reilly Online Learning: Academic/Public Library Edition
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700 |
1 |
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|a Hodler, Amy,
|e author.
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2 |
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|a O'Reilly for Higher Education (Firm),
|e distributor.
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710 |
2 |
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|a Safari, an O'Reilly Media Company.
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|t Online access: O'Reilly Media, Inc. O'Reilly Online Learning Platform: Academic edition (EZproxy Access)
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|u https://learning.oreilly.com/library/view/~/9787115546678/?ar
|z Texto completo (Requiere registro previo con correo institucional)
|
880 |
1 |
0 |
|6 245-99
|a 数据分析之图算法:
|b 基于Spark和Neo4j /
|c Needham, Mark.
|
880 |
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|6 520-00
|a 莎士比亚曾说,世界是一个大舞台。在今天看来,世界是一张大图!将人物和事件视作节点,将节点之间的关系连成线,我们就能将错综复杂的关系网络转化为图,通过图分析洞悉复杂问题的本质。图算法已经广泛应用于数据分析领域,营销归因分析、欺诈网络检测、客户旅程建模、安全事故原因分析,甚至连莎士比亚戏剧的剧情分析,都会用到图算法。 学习图算法有助于利用数据间的关系研究智能解决方案,并构建增强机器学习模型。本书作者来自Neo4j公司,在图分析领域深耕多年。你将跟随他们领略美妙的图算法世界,并利用流行平台Spark和Neo4j实现常用的图算法。 了解如何利用图分析揭示数据的预测性特征 了解如何实现近20种流行的图算法 了解各种图算法的适用场景 跟随示例在Spark和Neo4j中应用图算法 结合Spark和Neo4j创建机器学习工作流程
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