Dept. of Comput. Sci. Inf. Eng., Tamkang Univ., New Taipei, Taiwan;
data mining; decision trees; closed-loop; decision trees; domain-driven data mining; in-depth mining process; interesting pattern; interestingness measures; recovery rates; retrospective data; transvaginal ultrasound-guided aspiration; unexpected pattern mining; Business; Computational modeling; Data mining; Decision trees; Ethanol; Medical treatment; Ultrasonic imaging; domain driven datamining; interestingness measures; mining unexpected patterns; treatment comparison;
机译:使用决策树和兴趣度度量挖掘意外模式:子宫内膜异位症的案例研究
机译:字符串模式挖掘的兴趣度挖掘方法
机译:挖掘运动顺序模式的兴趣度度量
机译:字符串模式挖掘的兴趣度挖掘方法
机译:项目集大小敏感的兴趣度度量,用于关联规则挖掘和链接预测。
机译:从电子病历中挖掘具有统计学意义的新型临床关联的兴趣度度量
机译:共址模式挖掘的空间趣味度量