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.

中文翻译：

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从大数据走向紧凑数据

Bigdata是一个数据集，其大小超出了处理有价值的原材料的能力，可以将其提炼和提炼成有价值的特定见解。紧凑数据是一种优化大型数据集的方法，该数据集可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，可在没有大数据的情况下有效和个性化地利用大数据系统。紧凑数据方法是根据问题情况量身定制的设计。本文已经在各种数据驱动的研究领域中展示了各种紧凑的数据技术。