Summary form only given, as follows. Tremendous data will be generated in ERP system of an enterprise. Those data are very valuable for the enterprise. Therefore, Business Intelligent (BI) is used to help companies. Business Intelligent often uses data mining technologies. One of the methods in data mining is k-nearest neighbor (KNN). The time complexity of KNN is a bottleneck in the practical application in the fields of intelligent business. GPU has obvious advantages for enhancing effectiveness by parallelizing the KNN algorithm. There are lots of researches about GPU based KNN such as the work of V. Garcia, et.al.. However, we focus the GPU based KNN computation on the domain of Business Intelligent.
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机译：仅给出摘要表格，如下。企业的ERP系统中将生成大量数据。这些数据对于企业来说非常有价值。因此，商务智能（BI）用于帮助公司。商业智能通常使用数据挖掘技术。数据挖掘中的一种方法是k最近邻（KNN）。 KNN的时间复杂度是智能业务领域中实际应用的瓶颈。通过并行化KNN算法，GPU具有明显的优势，可以提高效率。 V. Garcia等人的工作涉及基于GPU的KNN的研究很多。但是，我们将基于GPU的KNN计算的重点放在商业智能领域。
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