基于扩展质量功能展开和网络图的产品大数据分析方法及其应用探讨

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Abstract Extant big data analytic methods focus on boosting performance of algorithm but ignore to take inherent relationships of data into consideration.And the methods are lack of ability to process web-based data thoroughly.This paper has proposed a big data analytic method based on extended QFD and web graph.The method consists of①an data relationship-oriented extended QFD that can identify relationships of big product data categories,②a description model of product big data‘s categories that is constructed to web form to display the relationships of data categories,and③a description model-based big data analytic model which is aimed to recognize patterns in a multi-dimensional way.The proposed method can display the data with complex shape and multiple connections in an explicit way via web form and then explore the big product data by making use of various suitable big data analytic methods for identifying the key data among huge data and finding new data and its relationship.The method can make it possible to combine the algorithm and data modeling more effectively.

Key words： Big data analytics Quality function deployment Web graph Big product data

Received: 13 April 2017

PACS:

F272.3

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	Articles by authors
	Tang Zhongjun
	Cui Junfu
	Yu Haibo

Cite this article:

Tang Zhongjun,Cui Junfu,Yu Haibo. A Big Data Analytic Method Based on An Extended QFD and Web Graph and Its Application[J]. , 2017, 0(12): 148-156.

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http://www.zgkjlt.org.cn/EN/ OR http://www.zgkjlt.org.cn/EN/Y2017/V0/I12/148

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