Website Operation Management Based on Data Mining under the Background of Big Data

Gao Ting
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Abstract

How to carry out website operation management effectively is one of the research hotspots in IT industry. In this paper, a novel research framework based on data mining as the main method is proposed for the website management in the big data background. Through real-time monitoring of the abnormal fluctuation of data and timely identification of effective information, the purpose of core information mining can be achieved. Experimental results show that the algorithm can accomplish significant event mining effectively, and guarantee real-time online processing requirements both in speed and accuracy, to achieve the purpose of providing a reliable reference basis for the efficient operation of website.
大数据背景下基于数据挖掘的网站运营管理
如何有效地进行网站运营管理是IT行业研究的热点之一。本文针对大数据背景下的网站管理,提出了一种以数据挖掘为主要方法的研究框架。通过实时监测数据的异常波动,及时识别有效信息,可以达到核心信息挖掘的目的。实验结果表明,该算法能够有效地完成重大事件挖掘,在速度和精度上都能保证实时在线处理要求,达到为网站高效运营提供可靠参考依据的目的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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