CAJ | 학술논문

点击流数据是分析互联网用户心理倾向的关键，用户感兴趣的页组关联就隐藏于WEB日志之中。网站页面间的隐式关联可以通过分析点击流数据实现。给出了一种挖掘关联页面的方法。关联页面发现算法采用了一种类似于Apriori的模型。算法克服了前人关联页面算法的一些缺点，能够更好地适应复杂的互联网环境。
점격류수거시분석호련망용호심리경향적관건，용호감흥취적혈조관련취은장우WEB일지지중。망참혈면간적은식관련가이통과분석점격류수거실현。급출료일충알굴관련혈면적방법。관련혈면발현산법채용료일충유사우Apriori적모형。산법극복료전인관련혈면산법적일사결점，능구경호지괄응복잡적호련망배경。
The Clickstream data is the key to the analysis of Internet users psychological tendency, and the association of the user interesting pages group is hidden in the WEB log. Implied association between Web pages can be achieved by analyzing the click stream data. This paper puts forward a method of mining association page. Associated page searching algorithm adopted a model similarly to the Apriori. This algorithm overcomes some shortcomings of predecessors’ association page algorithm can better adapt to the complex Internet environment.