CAJ | 학술논문

提出了推荐模型中的关联规则挖掘方法的改进，给出了自定义的页面权值的定义，并改进了基于关联图的关联规则挖掘算法，将页面权值应用于关联规则的挖掘中。此算法是利用Web日志中经过预处理后得到的数据进行规则挖掘，将处理后的数据应用正态分布函数来得到页面权值。用页面权值重新计算支持度，最后将得到的支持度应用于改进的规则挖掘算法中，形成一种基于权值的关联图的关联规则算法。
제출료추천모형중적관련규칙알굴방법적개진，급출료자정의적혈면권치적정의，병개진료기우관련도적관련규칙알굴산법，장혈면권치응용우관련규칙적알굴중。차산법시이용Web일지중경과예처리후득도적수거진행규칙알굴，장처리후적수거응용정태분포함수래득도혈면권치。용혈면권치중신계산지지도，최후장득도적지지도응용우개진적규칙알굴산법중，형성일충기우권치적관련도적관련규칙산법。
This paper presents an improved association rule mining algorithm for the recommended system, and our definition for the page weights. We improve the association graph based association rules mining algorithm, and apply the page weights to the mining of association rules. This algorithm employs the data acquired after pretreatment to web log to mine the association rules. Page weights are obtained through the processing of such data with a normal distribution function. The algorithm then uses the page weights to recalculate the page support, which is applied to the improved rule mining algorithm. We can therefore acquire page weights based association rule algorithm of an association graph.