Association Rule Mining with Domain Knowledge Constraint

摘要：

Mining knowledge from large databases has beenthe focus of many recent studies and applications.Mining association rules in medical images is animportant part in domain-specific application imagemining because there are several technical aspectswhich make this problem challenging.In this paper,we firstly propose ROI extraction and clusteringalgorithm with domain knowledge constraint,then weextend the concept of association rule based on ROIand image in medical images,and propose twoalgorithms to discover frequent item-sets and mineassociation rules from medical images.Someinteresting results are obtained by our program andwe believe many of the problems we come across arelikely to appear in other domains.

作者: Haiwei Pan Qilong Han Guisheng Yin Wei Zhang Jianzhong Li

作者单位: College of Computer Science and Technology,Harbin Engineering University,Harbin,China College of Computer Science and Technology,Harbin Institute of Technology,Harbin,China College of Computer Science and Technology,Harbin Engineering University,Harbin,China;College of Com

会议类型: 国际会议

会议名称: 2008 3rd International Conference on Intelligent System and Knowledge Engineering(第三届智能系统与知识工程国际会议)(ISKE 2008)

会议地点: 厦门

会议语种:英文

页码: 273-278

在线出版日期: 2008-11-17（万方平台首次上网日期，不代表论文的发表时间）