Using Visualization to Improve Clustering Analysis on Heterogeneous Information Network

doi:10.1109/iV.2018.00046

	Using Visualization to Improve Clustering Analysis on Heterogeneous Information Network
	Wang, Wenbo1 ; Li, Yuwei1 ; Wang, Feng 2; Liu, Xiaopei1 ; Zheng, Youyi1,3
	2018
会议录名称	2018 22ND INTERNATIONAL CONFERENCE INFORMATION VISUALISATION (IV)
ISSN	1550-6037
页码	220-227
发表状态	已发表
DOI	10.1109/iV.2018.00046
摘要	The exploration and analysis of data mining methodologies is an important task for effective knowledge discovery, especially in today's heterogeneous information networks. Previously presented approaches for mining optimization aim primarily at the improvements of time complexity, space complexity, accuracy, and robustness. We extend the state-of-the-art method by concentrating on user-availability and algorithm understandability. Specifically, we use Rankclus, a classic clustering algorithm as an example. After uncovering the unseen computing processes to be displayed in a visual form, the whole clustering processes are transparent to the users, which may help them more clearly and quickly understand how the algorithms are computed, how does each object influence one another. In addition, we use a density approach to intuitively simplify the discovery of data patterns, and through the visualized results, users can adjust algorithm parameters with or without professional training. Finally, we use another two visual techniques to improve the visualization quality: a heatmap matrix designed for checking the similarities of objects which are in the same cluster, and a DOItree implemented to further analyze the accuracy of the algorithms.
关键词	data mining heterogeneous information networks visualization Rankclus
出版地	345 E 47TH ST, NEW YORK, NY 10017 USA
会议地点	Salerno, Italy
会议日期	10-13 July 2018
URL	查看原文
收录类别	CPCI ; CPCI-S ; EI
语种	英语
资助项目	National Natural Science Foundation of China[61502306]
WOS研究方向	Computer Science
WOS类目	Computer Science, Theory & Methods
WOS记录号	WOS:000460565700037
出版者	IEEE
EI入藏号	20190406405517
EI主题词	Complex networks ; Data mining ; Information services ; Visualization
EI分类号	Computer Systems and Equipment:722 ; Data Processing and Image Processing:723.2 ; Information Sources and Analysis:903.1 ; Information Services:903.4
原始文献类型	Proceedings Paper
来源库	IEEE
引用统计	正在获取...
文献类型	会议论文
条目标识符	https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/29149
专题	信息科学与技术学院_PI研究组_刘晓培组信息科学与技术学院_PI研究组_郑友怡组信息科学与技术学院_硕士生信息科学与技术学院_博士生
通讯作者	Liu, Xiaopei; Zheng, Youyi
作者单位	1.ShanghaiTech Univ, Shanghai, Peoples R China 2.Jilin Univ, Changchun, Jilin, Peoples R China 3.Zhejiang Univ, Hangzhou, Zhejiang, Peoples R China
第一作者单位	上海科技大学
通讯作者单位	上海科技大学
第一作者的第一单位	上海科技大学
推荐引用方式 GB/T 7714	Wang, Wenbo,Li, Yuwei,Wang, Feng,et al. Using Visualization to Improve Clustering Analysis on Heterogeneous Information Network[C]. 345 E 47TH ST, NEW YORK, NY 10017 USA:IEEE,2018:220-227.