- CSB - MetaPress - Google - Bing - Yahoo
 | 2011 | |
|---|---|---|
| j7 |      | Baoying Wang, Imad Rahal, Aijuan Dong: Parallel hierarchical clustering using weighted confidence affinity. IJDMMM 3(2): 110-129 (2011) |
| 2010 | ||
| j6 |  | Baoying Wang, Imad Rahal, William Perrizo: DAVYD: An iterative Density-Based Approach for Clusters with VarYing Densities. I. J. Comput. Appl. 17(1): 2-15 (2010) |
| p1 | | Christopher A. Canning, Baoying Wang: Trends in Information Security Regulation. Handbook of Research on Computational Forensics, Digital Crime, and Investigation 2010: 516-528 |
| 2009 | ||
| j5 | | Imad Rahal, Baoying Wang, Riad Rahhal: Automated Gene-Retrieval System for Biological Information Needs. JIKM 8(1): 13-23 (2009) |
| c20 | | Aijuan Dong, Baoying Wang: Feature Selection and Comparison in Medical Image Analysis. IPCV 2009: 1018-1022 |
| 2008 | ||
| j4 | | Imad Rahal, Riad Rahhal, Baoying Wang, William Perrizo: CARIBIAM: Constrained Association Rules using Interactive Biological IncrementAl Mining. IJBRA 4(1): 28-48 (2008) |
| c19 | | |
| c18 | | |
| c17 | | Baoying Wang, Qin Ding, Imad Rahal: Parallel Hierarchical Clustering on Market Basket Data. ICDM Workshops 2008: 526-532 |
| 2007 | ||
| j3 | | Baoying Wang, William Perrizo: A Hybrid Clustering Method for Gene Expression Data. I. J. Comput. Appl. 14(4): 232-241 (2007) |
| c16 | | Baoying Wang, Imad Rahal: WC-Clustering: Hierarchical Clustering Using the Weighted Confidence Affinity Measure. ICDM Workshops 2007: 355-360 |
| 2006 | ||
| c15 | | |
| c14 | | Baoying Wang, William Perrizo: A Hierarchical Approach for Clusters in Different Densities. SEDE 2006: 211-216 |
| 2005 | ||
| j2 | | Baoying Wang, Fei Pan, Yue Cui, William Perrizo: Efficient Vertical Quantitative Frequent Pattern Mining. I. J. Comput. Appl. 12(4): 233-240 (2005) |
| c13 | | |
| r1 | | 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 |
| 2004 | ||
| j1 | | 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) |
| c12 | | Dongmei Ren, Kirk Scott, Baoying Wang, William Perrizo: A Distance-based Outlier Detection Method Using P-Tree. CAINE 2004: 160-164 |
| c11 | | Dongmei Ren, Baoying Wang, William Perrizo: A P-Tree based Outlier Detection Method. CAINE 2004: 165-170 |
| c10 | | Dongmei Ren, Baoying Wang, William Perrizo: A Cluster-based Outlier Detection Method without Pre-Clustering. CAINE 2004: 177-180 |
| c9 | | Baoying Wang, William Perrizo: Parameter Reduction for Density-based Clustering on Large Data Sets. CAINE 2004: 181-186 |
| c8 | | |
| c7 | | Baoying Wang, Qiang Ding, Fei Pan, William Perrizo: Efficient Modeling the Sloan Digital Sky Survey Data Using P-orchards. IASSE 2004: 11-16 |
| c6 | | Fei Pan, Xin Hu, Baoying Wang, William Perrizo: Rapid and Accurate Density Clustering Analysis for High Dimensional Data. IASSE 2004: 269-274 |
| c5 | | Dongmei Ren, Baoying Wang, William Perrizo: RDF: A Density-Based Outlier Detection Method using Vertical Data Representation. ICDM 2004: 503-506 |
| 2003 | ||
| c4 | | Baoying Wang, Fei Pan, Yue Cui, William Perrizo: Efficient Quantitative Frequent Pattern Mining Using Predicate Trees. CAINE 2003: 168-171 |
| c3 | | Fei Pan, Baoying Wang, Dongmei Ren, Xin Hu, William Perrizo: Efficient Proximal Support Vector Machine for Spatial Data. CAINE 2003: 292-297 |
| c2 | | 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 |
| c1 | | Fei Pan, Baoying Wang, Yi Zhang, Dongmei Ren, Xin Hu, William Perrizo: Efficient Density Clustering Method for Spatial Data. PKDD 2003: 375-386 |
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