HSDP: A Hybrid Sampling Method for Imbalanced Big Data Based on Data Partition
نویسندگان
چکیده
منابع مشابه
Sampling Based Range Partition Methods for Big Data Analytics
Big Data Analytics requires partitioning datasets into thousands of partitions according to a specific set of keys so that different machines can process different partitions in parallel. Range partition is one of the ways to partition the data that is needed whenever global ordering is required. It partitions the data according to a pre-defined set of exclusive and continuous ranges that cover...
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ژورنال
عنوان ژورنال: Complexity
سال: 2021
ISSN: 1099-0526,1076-2787
DOI: 10.1155/2021/6877284