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

被引：0

作者：

Ting, Gao ^{[1
]}

机构：

[1] Maanshan Teachers Coll, Maanshan 243041, Peoples R China

来源：

2017 INTERNATIONAL CONFERENCE ON ROBOTS & INTELLIGENT SYSTEM (ICRIS) | 2017年

关键词：

Data Mining; Big Data; Website Operation;

D O I：

10.1109/ICRIS.2017.98

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：367 / 370

页数：4