Zengyou He

2008
38	EE	Zengyou He, Can Yang, Weichuan Yu: Peak bagging for peptide mass fingerprinting. Bioinformatics 24(10): 1293-1299 (2008)
37	EE	Zengyou He, Xiaofei Xu, Shengchun Deng: k-ANMI: A mutual information based clustering algorithm for categorical data. Information Fusion 9(2): 223-233 (2008)
2007
36		Danish Irfan, Xiaofei Xu, Shengchun Deng, Zengyou He: K-means Clustering - A Survey. IKE 2007: 190-196
35	EE	Zengyou He, Xiaofei Xu, Shengchun Deng: Attribute Value Weighting in K-Modes Clustering CoRR abs/cs/0701013: (2007)
34	EE	Michael K. Ng, Mark Junjie Li, Joshua Zhexue Huang, Zengyou He: On the Impact of Dissimilarity Measure in k-Modes Clustering Algorithm. IEEE Trans. Pattern Anal. Mach. Intell. 29(3): 503-507 (2007)
2006
33	EE	Zengyou He, Shengchun Deng, Xiaofei Xu: Approximation Algorithms for K-Modes Clustering. ICIC (2) 2006: 296-302
32	EE	Zengyou He, Shengchun Deng, Xiaofei Xu, Joshua Zhexue Huang: A Fast Greedy Algorithm for Outlier Mining. PAKDD 2006: 567-576
31	EE	Zengyou He: Approximation Algorithms for K-Modes Clustering CoRR abs/cs/0603120: (2006)
30	EE	Zengyou He: Farthest-Point Heuristic based Initialization Methods for K-Modes Clustering CoRR abs/cs/0610043: (2006)
29	EE	Zengyou He, Xiaofei Xu, Shengchun Deng: Improving Categorical Data Clustering Algorithm by Weighting Uncommon Attribute Value Matches. Comput. Sci. Inf. Syst. 3(1): 23-32 (2006)
28	EE	Zengyou He, Xiaofei Xu, Shengchun Deng: Mining top-k strongly correlated item pairs without minimum correlation threshold. KES Journal 10(2): 105-112 (2006)
2005
27	EE	Zengyou He, Shengchun Deng, Xiaofei Xu: Improving K-Modes Algorithm Considering Frequencies of Attribute Values in Mode. CIS (1) 2005: 157-162
26	EE	Zengyou He, Shengchun Deng, Xiaofei Xu: An FP-Tree Based Approach for Mining All Strongly Correlated Item Pairs. CIS (1) 2005: 735-740
25	EE	Zengyou He, Shengchun Deng, Xiaofei Xu: An Optimization Model for Outlier Detection in Categorical Data. ICIC (1) 2005: 400-409
24	EE	Zengyou He, Shengchun Deng, Xiaofei Xu: A Unified Subspace Outlier Ensemble Framework for Outlier Detection. WAIM 2005: 632-637
23	EE	Zengyou He, Xiaofei Xu, Shengchun Deng: Data Mining for Actionable Knowledge: A Survey CoRR abs/cs/0501079: (2005)
22	EE	Zengyou He: Mining Top-k Approximate Frequent Patterns CoRR abs/cs/0503037: (2005)
21	EE	Zengyou He, Xiaofei Xu, Shengchun Deng: An Optimization Model for Outlier Detection in Categorical Data CoRR abs/cs/0503081: (2005)
20	EE	Zengyou He, Xiaofei Xu, Shengchun Deng: A Unified Subspace Outlier Ensemble Framework for Outlier Detection in High Dimensional Spaces CoRR abs/cs/0505060: (2005)
19	EE	Zengyou He, Xiaofei Xu, Shengchun Deng: A Fast Greedy Algorithm for Outlier Mining CoRR abs/cs/0507065: (2005)
18	EE	Zengyou He, Xiaofei Xu, Shengchun Deng: Clustering Mixed Numeric and Categorical Data: A Cluster Ensemble Approach CoRR abs/cs/0509011: (2005)
17	EE	Zengyou He, Xiaofei Xu, Shengchun Deng, Bin Dong: K-Histograms: An Efficient Clustering Algorithm for Categorical Dataset CoRR abs/cs/0509033: (2005)
16	EE	Zengyou He, Xiaofei Xu, Shengchun Deng: K-ANMI: A Mutual Information Based Clustering Algorithm for Categorical Data CoRR abs/cs/0511013: (2005)
15	EE	Zengyou He, Xiaofei Xu: FP-Outlier: Frequent Pattern Based Outlier Detection. Comput. Sci. Inf. Syst. 2(1): 103-118 (2005)
14	EE	Zengyou He, Xiaofei Xu, Shengchun Deng, Ronghua Ma: Mining action rules from scratch. Expert Syst. Appl. 29(3): 691-699 (2005)
13	EE	Zengyou He, Xiaofei Xu, Shengchun Deng: A cluster ensemble method for clustering categorical data. Information Fusion 6(2): 143-151 (2005)
12	EE	Zengyou He, Xiaofei Xu, Shengchun Deng: Scalable algorithms for clustering large datasets with mixed type attributes. Int. J. Intell. Syst. 20(10): 1077-1089 (2005)
11	EE	Zengyou He, Xiaofei Xu, Shengchun Deng: TCSOM: Clustering Transactions Using Self-Organizing Map. Neural Processing Letters 22(3): 249-262 (2005)
2004
10	EE	Zengyou He, Joshua Zhexue Huang, Xiaofei Xu, Shengchun Deng: Mining Class Outliers: Concepts, Algorithms and Applications. WAIM 2004: 589-599
9	EE	Zengyou He, Xiaofei Xu, Joshua Zhexue Huang, Shengchun Deng: A Frequent Pattern Discovery Method for Outlier Detection. WAIM 2004: 726-732
8	EE	Zengyou He, Xiaofei Xu, Shengchun Deng: Modeling Complex Higher Order Patterns CoRR abs/cs/0412018: (2004)
7	EE	Zengyou He, Xiaofei Xu, Shengchun Deng: A Link Clustering Based Approach for Clustering Categorical Data CoRR abs/cs/0412019: (2004)
6	EE	Zengyou He, Xiaofei Xu, Shengchun Deng, Joshua Zhexue Huang: Clustering Categorical Data Streams CoRR abs/cs/0412058: (2004)
5	EE	Zengyou He, Xiaofei Xu, Shengchun Deng: A FP-Tree Based Approach for Mining All Strongly Correlated Pairs without Candidate Generation CoRR cs.DB/0411035: (2004)
4	EE	Zengyou He, Xiaofei Xu, Joshua Zhexue Huang, Shengchun Deng: Mining class outliers: concepts, algorithms and applications in CRM. Expert Syst. Appl. 27(4): 681-697 (2004)
2003
3	EE	Zengyou He, Xiaofei Xu, Shengchun Deng: Discovering cluster-based local outliers. Pattern Recognition Letters 24(9-10): 1641-1650 (2003)
2002
2	EE	Zengyou He, Shengchun Deng, Xiaofei Xu: Outlier Detection Integrating Semantic Knowledge. WAIM 2002: 126-131
1	EE	Zengyou He, Xiaofei Xu, Shengchun Deng: Squeezer: An Efficient Algorithm for Clustering Categorical Data. J. Comput. Sci. Technol. 17(5): 611-624 (2002)

Coauthor Index

1	Shengchun Deng	[1] [2] [3] [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [16] [17] [18] [19] [20] [21] [23] [24] [25] [26] [27] [28] [29] [32] [33] [35] [36] [37]
2	Bin Dong	[17]
3	Joshua Zhexue Huang (Zhexue Huang)	[4] [6] [9] [10] [32] [34]
4	Danish Irfan	[36]
5	Mark Junjie Li	[34]
6	Ronghua Ma	[14]
7	Michael K. Ng (Michael Kwok-Po Ng)	[34]
8	Xiaofei Xu	[1] [2] [3] [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [23] [24] [25] [26] [27] [28] [29] [32] [33] [35] [36] [37]
9	Can Yang	[38]
10	Weichuan Yu	[38]

Colors in the list of coauthors