http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
강형창(Hyungchang Kang),양근탁(Kuntak Yang),김철수(Chulsoo Kim),이윤정(Yoonjung Rhee),이봉규(Bongkyu Lee) 대한전기학회 2010 전기학회논문지 Vol.59 No.7
Association rules are very useful and interesting patterns for discovering preferences of each person in digital-content services. The Apriori algorithm is an influential algorithm for mining frequent itemsets for association rules. However, since this algorithm does not take into account reference times of each content as an important support factor, it cannot be used to extract associations among time-based data. This paper proposes an augmented Apriori algorithm discovers association rules using both frequencies and usage times of each item.