开课单位--水牛城大学
1 1/1
1
Risk Prediction on Electronic Healthcare Records with Prior Medical Knowledge[基于先验医学知识的电子医疗记录风险预测]
Fenglong Ma(水牛城大学) Predicting the risk of potential diseases from Electronic Health Records (EHR) has attracted considerable attention in recent years, especially with t...
热度:38
Fenglong Ma(水牛城大学) Predicting the risk of potential diseases from Electronic Health Records (EHR) has attracted considerable attention in recent years, especially with t...
热度:38
2
Motif-driven Dense Subgraph Discovery in Directed and Labeled Networks[有向和有标记网络中模体驱动的稠密子图发现]
A. Erdem Sarıyüce(水牛城大学) Motif-driven Dense Subgraph Discovery in Directed and Labeled Networks
热度:27
A. Erdem Sarıyüce(水牛城大学) Motif-driven Dense Subgraph Discovery in Directed and Labeled Networks
热度:27
3
SmartMiner: A New Framework for Mining Large Scale Web Usage Data[SmartMiner:一种挖掘大规模Web使用数据的新框架]
Ahmet Cosar;Ismail Hakki Toroslu;Guven Fidan;Murat Ali Bayir(水牛城大学) In this paper, we propose a novel framework called Smart- Miner for web usage mining problem which uses link information for producing accurate user s...
热度:72
Ahmet Cosar;Ismail Hakki Toroslu;Guven Fidan;Murat Ali Bayir(水牛城大学) In this paper, we propose a novel framework called Smart- Miner for web usage mining problem which uses link information for producing accurate user s...
热度:72
1 1/1