从大数据走向紧凑数据
Toward Compact Data from Big Data
摘要：
大数据是一个数据集，其大小超出了处理有价值的原材料的能力，这些原材料可以被提炼和提炼成有价值的具体见解。紧凑数据是一种优化大数据集的方法，可以在不处理复杂大数据的情况下提供最佳资产。紧凑的数据集包含细粒度级别的最大知识模式，以有效和个性化地利用没有大数据的大数据系统。紧凑数据方法是一种量身定制的设计，它取决于问题的情况。本文将各种数据压缩技术应用于数据驱动的各个研究领域。
英文摘要：
Bigdata is a dataset of which size is beyond the ability of handling a valuable raw material that can be refined and distilled into valuable specific insights. Compact data is a method that optimizes the big dataset that gives best assets without handling complex bigdata. The compact dataset contains the maximum knowledge patterns at fine grained level for effective and personalized utilization of bigdata systems without bigdata. The compact data method is a tailor-made design which depends on problem situations. Various compact data techniques have been demonstrated into various data-driven research area in the paper.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
