Research of Business Intelligence based on Web Accessing Data Mining

被引：0

作者：

Li, Xingyuan ^{[1
]}

Wu, Yanyan ^{[1
]}

Cheng, Ping ^{[1
]}

机构：

[1] Ningbo Dahongying Univ, Informat Engn Coll, Ningbo, Zhejiang, Peoples R China

来源：

PROCEEDINGS OF 2012 7TH INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE & EDUCATION, VOLS I-VI | 2012年

关键词：

Information mining; FP-growth; association rules;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

In this paper, the basic characteristic of web access information puts forward the improved data mining algorithm in the application of e-commerce industry. Deep analysis of web access to information, it comes from solving real problem from the design of web based access information mining application model. It puts forward several key technical problem methods for solving the problems.

引用

页码：1231 / 1233

页数：3

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