certitude
发表于 2025-3-25 04:01:53
Imbalanced Data Preprocessing for Big Data,this divide-and-conquer strategy entails several problems, such as small disjuncts, data lack, etc. In this chapter we also review the latest proposals on imbalanced Big Data preprocessing and present a MapReduce framework for imbalanced preprocessing which includes several state-of-the-art sampling techniques.
FIR
发表于 2025-3-25 08:42:21
https://doi.org/10.1007/978-1-4614-5987-3pular frameworks in Big Data, and their main components. Next we also discuss other novel platforms for high-speed streaming processing that are gaining increasing importance in industry. Finally we make a comparison between two of the most relevant large-scale processing platforms nowadays: Spark and Flink.
Noisome
发表于 2025-3-25 14:56:57
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动机
发表于 2025-3-25 18:37:10
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矿石
发表于 2025-3-25 22:03:36
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Compassionate
发表于 2025-3-26 01:03:09
of some of the most recent solutions to address imbalanced This book offers a comprehensible overview of Big Data Preprocessing, which includes a formal description of each problem. It also focuses on the most relevant proposed solutions. This book illustrates actual implementations of algorithms
brassy
发表于 2025-3-26 07:00:36
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陈腐的人
发表于 2025-3-26 12:26:55
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歌曲
发表于 2025-3-26 14:45:37
Book 2020e novel areas of study that are gathering a deeper attention on the Big Data preprocessing. Specifically, it considers the relation with Deep Learning (as of a technique that also relies in large volumes of data), the difficulty of finding the appropriate selection and concatenation of preprocessing
收集
发表于 2025-3-26 20:02:57
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