Baoying Wang

	2009
26		Aijuan Dong, Baoying Wang: Feature Selection and Comparison in Medical Image Analysis. IPCV 2009: 1018-1022
25		Imad Rahal, Baoying Wang, Riad Rahhal: Automated Gene-Retrieval System for Biological Information Needs. JIKM 8(1): 13-23 (2009)
	2008
24		Baoying Wang, Aijuan Dong: Parallel Implementation of Hybrid Clustering. DMIN 2008: 550-554
23		Baoying Wang, Aijuan Dong: A Parallel Attractor-tree Based Clustering Method. HPCNCS 2008: 176-180
22		Baoying Wang, Qin Ding, Imad Rahal: Parallel Hierarchical Clustering on Market Basket Data. ICDM Workshops 2008: 526-532
21		Imad Rahal, Riad Rahhal, Baoying Wang, William Perrizo: CARIBIAM: Constrained Association Rules using Interactive Biological IncrementAl Mining. IJBRA 4(1): 28-48 (2008)
	2007
20		Baoying Wang, Imad Rahal: WC-Clustering: Hierarchical Clustering Using the Weighted Confidence Affinity Measure. ICDM Workshops 2007: 355-360
19		Baoying Wang, William Perrizo: A Hybrid Clustering Method for Gene Expression Data. I. J. Comput. Appl. 14(4): 232-241 (2007)
	2006
18		Baoying Wang, Qi Gong, Jie Hu: A PC-based Parallel Programming System. ISCA PDCS 2006: 57-62
17		Baoying Wang, William Perrizo: A Hierarchical Approach for Clusters in Different Densities. SEDE 2006: 211-216
	2005
16		Baoying Wang, William Perrizo: Tree-based clustering for gene expression data. SAC 2005: 204-205
15		William Perrizo, Qiang Ding, Masum Serazi, Taufik Abidin, Baoying Wang: Vertical Database Design for Scalable Data Mining. Encyclopedia of Database Technologies and Applications 2005: 736-739
14		Baoying Wang, Fei Pan, Yue Cui, William Perrizo: Efficient Vertical Quantitative Frequent Pattern Mining. I. J. Comput. Appl. 12(4): 233-240 (2005)
	2004
13		Dongmei Ren, Kirk Scott, Baoying Wang, William Perrizo: A Distance-based Outlier Detection Method Using P-Tree. CAINE 2004: 160-164
12		Dongmei Ren, Baoying Wang, William Perrizo: A P-Tree based Outlier Detection Method. CAINE 2004: 165-170
11		Dongmei Ren, Baoying Wang, William Perrizo: A Cluster-based Outlier Detection Method without Pre-Clustering. CAINE 2004: 177-180
10		Baoying Wang, William Perrizo: Parameter Reduction for Density-based Clustering on Large Data Sets. CAINE 2004: 181-186
9		Baoying Wang, Qiang Ding, Fei Pan, William Perrizo: Efficient Modeling the Sloan Digital Sky Survey Data Using P-orchards. IASSE 2004: 11-16
8		Fei Pan, Xin Hu, Baoying Wang, William Perrizo: Rapid and Accurate Density Clustering Analysis for High Dimensional Data. IASSE 2004: 269-274
7		Baoying Wang, Qiang Ding, Fei Pan, William Perrizo: Digital Sky Surveys in P-HTM. IASSE 2004: 6-10
6		Dongmei Ren, Baoying Wang, William Perrizo: RDF: A Density-Based Outlier Detection Method using Vertical Data Representation. ICDM 2004: 503-506
5		Fei Pan, Baoying Wang, Xin Hu, William Perrizo: Comprehensive vertical sample-based KNN/LSVM classification for gene expression analysis. Journal of Biomedical Informatics 37(4): 240-248 (2004)
	2003
4		Baoying Wang, Fei Pan, Yue Cui, William Perrizo: Efficient Quantitative Frequent Pattern Mining Using Predicate Trees. CAINE 2003: 168-171
3		Fei Pan, Baoying Wang, Dongmei Ren, Xin Hu, William Perrizo: Efficient Proximal Support Vector Machine for Spatial Data. CAINE 2003: 292-297
2		Baoying Wang, Fei Pan, Dongmei Ren, Yue Cui, Qiang Ding, William Perrizo: Efficient OLAP operations for spatial data using peano trees. DMKD 2003: 28-34
1		Fei Pan, Baoying Wang, Yi Zhang, Dongmei Ren, Xin Hu, William Perrizo: Efficient Density Clustering Method for Spatial Data. PKDD 2003: 375-386

Coauthor Index

1	Taufik Abidin	[15]
2	Yue Cui	[2] [4] [14]
3	Qiang Ding	[2] [7] [9] [15]
4	Qin Ding	[22]
5	Aijuan Dong	[23] [24] [26]
6	Qi Gong	[18]
7	Jie Hu	[18]
8	Xin Hu	[1] [3] [5] [8]
9	Fei Pan	[1] [2] [3] [4] [5] [7] [8] [9] [14]
10	William Perrizo	[1] [2] [3] [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [19] [21]
11	Imad Rahal	[20] [21] [22] [25]
12	Riad Rahhal	[21] [25]
13	Dongmei Ren	[1] [2] [3] [6] [11] [12] [13]
14	Kirk Scott	[13]
15	Masum Serazi	[15]
16	Yi Zhang	[1]

Colors in the list of coauthors