云南大学中国西南天文研究所

 首页 Home | 研究所简介 SWIFAR | 人员 People | 科学研究 Science | 学术活动 Activities | 人才培养 Education | 科学普及 Outreach | 诚聘英才 Recruitment | 访问指南 For Visitors | 内部链接 Internal 
 
 首页 Home 
 研究所简介 SWIFAR 
 人员 People 
 科学研究 Science 
 学术活动 Activities 
 人才培养 Education 
 科学普及 Outreach 
 诚聘英才 Recruitment 
 访问指南 For Visitors 
 内部链接 Internal 
 
  过往活动 Past Events
当前位置: 首页 Home>>过往活动 Past Events>>正文
 

Lunch talk on Mar. 20th, 2019

High Quality Co-location Pattern Mining


Speaker: Yuan Fang (Yunnan University)

Venue: Gewu 4410

Time: 12:30 PM, Wednesday, 20th March, 2019


Abstract: Spatial co-location pattern mining technique aims to discover the subsets of spatial features whose instances are frequently located together in geographic neighborhoods. The traditional co-location mining framework takes the prevalence as sole interestingness measure. Such framework produces numerous co-location patterns and only uses the co-existence intensity of features as pattern information, which makes the mining results hard for users to understand and apply in specific applications. In order to acquire a kind of concise, targeted and interpretable co-location patterns, we consider the interaction of instances, features and co-location patterns in co-location pattern mining process  simultaneously, and define the high-quality co-location patterns (HQCPs). Moreover, we develop efficient algorithms and a series optimized strategies to discover three kinds of HQCPs: the co-location patterns with dominant features, dominant co-location patterns and combined co-location patterns. The experimental results on vegetation data sets show that our methods which evaluate and analyze the co-location patterns on multiple perspectives can find a collection of co-location patterns with high quality to guide the users in practice.


Report PPT:   SWIFAR_lunchtalk_fangyuan.pptx


附件【SWIFAR_lunchtalk_fangyuan.pptx已下载
关闭窗口

版权所有:云南大学中国西南天文研究所 

South-Western Institute For Astronomy Research, YNU