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公安情报中基于关键图谱的群体发现算法 |
王桦, 韩同阳, 周可 |
华中科技大学 武汉光电国家实验室,湖北 武汉 430074 |
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KeyGraph-based community detection algorithm for public security intelligence |
WANG Hua, HAN Tong-yang, ZHOU Ke |
Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan 430074, China |
引用本文:
王桦, 韩同阳, 周可. 公安情报中基于关键图谱的群体发现算法[J]. 浙江大学学报(工学版), 10.3785/j.issn.1008-973X.2017.06.015.
WANG Hua, HAN Tong-yang, ZHOU Ke. KeyGraph-based community detection algorithm for public security intelligence. JOURNAL OF ZHEJIANG UNIVERSITY (ENGINEERING SCIENCE), 10.3785/j.issn.1008-973X.2017.06.015.
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参考文献(References):
[1] JACOB L. Moreno [EB/OL]. [2016-10-01]. https:∥en.wikipedia.org/wiki/Jacob_L._Moreno.
[2] WEST D B. Introduction to graph theory [M]. Upper Saddle River: Prentice hall, 2001: 1-36.
[3] SCOTT J. Social network analysis [M]. Sage: socialogy, 2012: 109-127.
[4] ALSABTI K, RANKA S, SINGH V. An efficientK-means clustering algorithm [C] ∥ Proceeding of IPPS/SPDP Workshop on High Performance Data Mining, 1998. New York: ACM, 2011: 1-6.
[5] KAUFMAN L, ROUSSEEUW P J. Finding groups in data: an introduction to cluster analysis [M]. New York: John Wiley and Sons, 2009.
[6] KAUFMAN L, PETER J R. Finding Groups in Data: An Introduction to Cluster Analysis [M]. New York: John Wiley and Sons, 1990.
[7] ESTER M, KRIEGEL H P, SANDER J, et al. A density-based algorithm for discovering clusters in large spatial databases with noise [C] ∥ Proceeding of Second International Conference on Knowledge Discovery and Data Mining. Menlo Park: AAAI Press, 1996: 226-231.
[8] WANG W, YANG J, MUNTZ R. STING: a statistical information grid approach to spatial data mining [C] ∥ Proceeding of 23rd International Conference on Very Large Data Bases. San Francisco: Morgan Kaufmann, 1997: 186-195.
[9] 张浩明.数据挖掘在公安情报系统中的研究与应用[D].上海:同济大学, 2008.
ZHANG Hao-ming. Research and application on data mining for systems of public security intelligence [D]. Shanghai: Tongji University, 2008.
[10] 陆巧.公安大情报应用体系建设研究 [D]. 四川:电子科技大学, 2013.
LU Qiao. Research on the construction of the application system of public security intelligence [D]. Sichuan: University of Electronic Science and Technology, 2013.
[11] 杨正涛.基于数据仓库的公安情报分析系统的设计与实现[D].四川:电子科技大学, 2012.
YANG Zheng-tao. Design and implementation of public security information system based on data warehouse [D]. Sichuan: University of Electronic Science and Technology, 2012.
[12] ZHANG Z, CHENG H, WANG X. From data mining to chance/sign discovery [J]. Computer Science, 2007, 10: 188-191.
[13] ZHANG Z Y, CHENG H M, ZHANG S G. Research on approach of simple scenario map construction in chance discovery [J]. Computer Engineering, 2011,37(8):192-193.
[14] 程泽凯,张佳玉.基于节点相似度的社团发现算法[J].计算机工程与设计,2014, 35(5): 1689-1693.
CHENG Ze-kai, ZHANG Jia-yu. Community discovery algorithm based on node similarity [J]. Computer Engineering and Design, 2014, 35(5): 1689-1693.
[15] NEWMAN M E J, GIRVAN M. Finding and evaluating community structure in networks [J]. Physical Review E, 2004, 69(2): 026113.
[16] XU X, YURUK N, FENG Z, et al. Scan: a structural clustering algorithm for networks [C] ∥ Proceedings of the 13rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. San Jose: ACM, 2007: 824-833. |
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