Browse/Search Results: 1-5 of 5

Selected(0)Clear Items/Page: Sort:
	An effective risk factor detection and disease prediction (RFD-DP) model applied to hypertension Journal article Journal of Universal Computer Science,2018, volume: 24, issue: 9, pages: 1192-1216 Authors: Li, Dingkun; Li, Yaning; Ye, Zhou; Ibrahim, Musa; Ryu, Keun Ho Favorite \| View/Download：5/0 \| Submit date：2021/10/19 Classification Feature selection High dimensional data MapReduce
	Clustering method using weighted preference based on RFM score for personalized recommendation system in u-commerce Conference paper Lecture Notes in Electrical Engineering, Danang, Vietnam, December 18-20, 2013 Authors: Cho, Young Sung; Moon, Song Chul; Jeong, Seon Phil; Oh, In Bae; Ryu, Keun Ho Favorite \| View/Download：3/0 \| Submit date：2021/10/19 Collaborative filtering K-means clustering Rfm analysis
	Efficient purchase pattern clustering based on SOM for recommender system in u-commerce Conference paper Lecture Notes in Electrical Engineering, Danang, Vietnam, December 18-20, 2013 Authors: Cho, Young Sung; Moon, Song Chul; Jeong, Seon Phil; Oh, In Bae; Ryu, Keun Ho Favorite \| View/Download：3/0 \| Submit date：2021/10/19 Collaborative Filtering RFM SOM(Self-Organizing Map)
	Clustering method using item preference based on RFM for recommendation system in U-commerce Conference paper Lecture Notes in Electrical Engineering, Hong Kong, China, December 20-22, 2012 Authors: Cho, Young Sung; Moon, Song Chul; Jeong, Seon Phil; Oh, In Bae; Ryu, Keun Ho Favorite \| View/Download：3/0 \| Submit date：2021/10/19 Clustering Collaborative filtering RFM
	Bio named entity recognition based on co-training algorithm Conference paper Proceedings - 26th IEEE International Conference on Advanced Information Networking and Applications Workshops, WAINA 2012, WAINA, March 26-29, 2012 Authors: Munkhdalai, Tsendsuren; Li, Meijing; Kim, Taewook; Namsrai,Oyun Erdene; Jeong, Seon Phil Favorite \| View/Download：3/0 \| Submit date：2021/10/19 Bio named entity recognition co-training feature processing semisupervised learning text mining