Guojun Gan

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Jianhong WuLaboratory for Industrial and Applied Mathematics, York University, Toronto, CanadaVerified email at yorku.ca
Emiliano A. ValdezUniversity of ConnecticutVerified email at uconn.edu
Michael Kwok-Po NgSIAM Fellow, AAIA Fellow, Dean of Science, Chair Professor in Mathematics & in Data Science, HKBUVerified email at hkbu.edu.hk
Shu-Tao XiaSIGS, Tsinghua UniversityVerified email at sz.tsinghua.edu.cn
Bowen ZhaoTsinghua UniversityVerified email at mails.tsinghua.edu.cn
Bin Zhang(张宾)Pengcheng Laboratory, Shen Zhen, ChinaVerified email at pcl.ac.cn
Zhiyu QuanUniversity of Illinois at Urbana-ChampaignVerified email at uconn.edu
X. Sheldon LinUniversity of TorontoVerified email at utstat.utoronto.ca
Wei LuoDeakin UniversityVerified email at deakin.edu.au
Gang LiProfessor, Deakin UniversityVerified email at deakin.edu.au
Xiaojuan ChengDeakin universityVerified email at deakin.edu.au
Dipak K. DeyDistinguished Professor of Statistics, UConnVerified email at uconn.edu
Xiangji Huang (Jimmy Huang)York Research Chair, Professor & ACM Distinguished Scientist York University Toronto, CanadaVerified email at yorku.ca
Ken JacksonProfessor of Computer Science, University of TorontoVerified email at cs.toronto.edu
Runhuan FengTsinghua University; University of Illinois at Urbana-ChampaignVerified email at sem.tsinghua.edu.cn
Himchan JeongAssistant Professor of Statistics & Actuarial Science, Simon Fraser UniversityVerified email at sfu.ca
Michelle CareyAssistant Professor in Statistics in University College DublinVerified email at ucd.ie
Shuang WuUniversity of RochesterVerified email at urmc.rochester.edu
Yuping ZhangUniversity of ConnecticutVerified email at uconn.edu
Lan Qiujun(兰秋军)Professor of Business School,Hunan UniversityVerified email at hnu.edu.cn

Guojun Gan

University of Connecticut

Verified email at uconn.edu - Homepage

Actuarial Science Data Mining


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Data Clustering: Theory, Algorithms, and Applications G Gan, C Ma, J Wu SIAM, 2007	2712*	2007
Maintaining Discrimination and Fairness in Class Incremental Learning B Zhao, X Xiao, G Gan, B Zhang, S Xia The 33rd IEEE/CVF Conference on Computer Vision and Pattern Recognition …, 2020	381	2020
k-Means Clustering with Outlier Removal G Gan, MKP Ng Pattern Recognition Letters 90, 8--14, 2017	191	2017
A convergence theorem for the fuzzy subspace clustering (FSC) algorithm G Gan, J Wu Pattern Recognition 41 (6), 1939-1947, 2008	138	2008
A genetic fuzzy k-Modes algorithm for clustering categorical data G Gan, J Wu, Z Yang Expert Systems with Applications 36 (2), 1615-1620, 2009	130	2009
Application of data clustering and machine learning in variable annuity valuation G Gan Insurance: Mathematics and Economics 53 (3), 795-801, 2013	125	2013
Subspace clustering for high dimensional categorical data G Gan, J Wu Acm Sigkdd Explorations Newsletter 6 (2), 87-94, 2004	120	2004
Valuation of Large Variable Annuity Portfolios Under Nested Simulations: A Functional Data Approach G Gan, XS Lin Insurance: Mathematics and Economics 62, 138-150, 2015	88	2015
A fuzzy subspace algorithm for clustering high dimensional data G Gan, J Wu, Z Yang Advanced Data Mining and Applications: Second International Conference, ADMA …, 2006	88	2006
Data Clustering in C++: an object-oriented approach G Gan Crc Press, 2011	55	2011
Subspace Clustering using Affinity Propagation G Gan, MKP Ng Pattern Recognition 48 (4), 1451–1460, 2015	53	2015
Subspace clustering with automatic feature grouping G Gan, MKP Ng Pattern Recognition 48 (11), 3703-3713, 2015	52	2015
Regression modeling for the valuation of large variable annuity portfolios G Gan, EA Valdez North American Actuarial Journal 22 (1), 40-54, 2018	51	2018
A Genetic k-Modes Algorithm for Clustering Categorical Data G Gan, Z Yang, J Wu Advanced Data Mining and Applications: First International Conference, ADMA …, 2005	44	2005
Efficient greek calculation of variable annuity portfolios for dynamic hedging: A two-level metamodeling approach G Gan, XS Lin North American Actuarial Journal 21 (2), 161-177, 2017	43	2017
Valuation of large variable annuity portfolios: Monte Carlo simulation and synthetic datasets G Gan, EA Valdez Dependence Modeling 5, 354-374, 2017	36	2017
An Empirical Comparison of Some Experimental Designs for the Valuation of Large Variable Annuity Portfolios G Gan, EA Valdez Dependence Modeling 4 (1), 382-400, 2016	35	2016
Application of metamodeling to the valuation of large variable annuity portfolios G Gan 2015 Winter Simulation Conference (WSC), 1103-1114, 2015	34	2015
Data clustering with actuarial applications G Gan, EA Valdez North American Actuarial Journal 24 (2), 168-186, 2020	30	2020
A data mining framework for valuing large portfolios of variable annuities G Gan, JX Huang Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017	30	2017

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