CAJ | 학술논문

提出一种新型基于窗口的数据挖掘算法，以用来挖掘所定义的多因素驾驶偏好。具体地，定义了多因素之间的两两权衡来刻画驾驶偏好；提出了一种用于估算偏好分布的挖掘算法，并根据假设引入了椭圆对挖掘算法进行了优化。结果证明，该方法能够发现本文所定义的多因素驾驶偏好，并且算法有效、快速，具有较好的扩展性。
제출일충신형기우창구적수거알굴산법，이용래알굴소정의적다인소가사편호。구체지，정의료다인소지간적량량권형래각화가사편호；제출료일충용우고산편호분포적알굴산법，병근거가설인입료타원대알굴산법진행료우화。결과증명，해방법능구발현본문소정의적다인소가사편호，병차산법유효、쾌속，구유교호적확전성。
A novel window based data mining algorithm was proposed and used to mine the defined multivariate driving preference. Specifically, a model describing paired cost aspects to reflect driving preference was defined, a da-ta mining algorithm to estimate the multivariate driving preference distribution was proposed, and ellipse to optimize the data mining algorithm was introduced. The results showed that the method in this paper could discover the defined mul-tivariate driving preference and the proposed algorithm was effective, fast and had good scalability.