Baoying ( Wang, Ph.D.
Affiliations: | 2005 | North Dakota State University, Fargo, ND, United States |
Area:
Computer ScienceGoogle:
"Baoying Wang"Parents
Sign in to add mentorWilliam Perrizo | grad student | 2005 | North Dakota State University | |
(Comprehensive density-based cluster analysis.) |
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Publications
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Wang B, Dong A. (2012) Online clustering and outlier detection Meta-Heuristics Optimization Algorithms in Engineering, Business, Economics, and Finance. 529-545 |
Wang B, Rahal I, Dong A. (2011) Parallel hierarchical clustering using weighted confidence affinity International Journal of Data Mining, Modelling and Management. 3: 110 |
Rahal I, Wang B, Rahhal R. (2009) Automated Gene-Retrieval System for Biological Information Needs Journal of Information & Knowledge Management. 8: 13-23 |
Rahal I, Rahhal R, Wang B, et al. (2008) CARIBIAM: constrained Association Rules using Interactive Biological IncrementAl Mining. International Journal of Bioinformatics Research and Applications. 4: 28-48 |
Perrizo W, Ding Q, Serazi M, et al. (2005) Vertical database design for scalable data mining Encyclopedia of Database Technologies and Applications. 736-739 |
Wang B, Perrizo W. (2005) Tree-based clustering for gene expression data Proceedings of the Acm Symposium On Applied Computing. 1: 204-205 |
Pan F, Wang B, Hu X, et al. (2004) Comprehensive vertical sample-based KNN/LSVM classification for gene expression analysis. Journal of Biomedical Informatics. 37: 240-8 |
Ren D, Wang B, Perrizo W. (2004) RDF: A density-based outlier detection method using vertical data representation Proceedings - Fourth Ieee International Conference On Data Mining, Icdm 2004. 503-506 |
Wang B, Pan F, Ren D, et al. (2003) Efficient OLAP operations for spatial data using peano trees Proceedings of the 8th Acm Sigmod Workshop On Research Issues in Data Mining and Knowledge Discovery, Dmkd '03. 28-34 |
Pan F, Wang B, Zhang Y, et al. (2003) Efficient density clustering method for spatial data Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science). 2838: 375-386 |