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Margaret H. Dunham

Affiliations: 
Southern Methodist University, Dallas, TX, United States 
Area:
Computer Science
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"Margaret Dunham"
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Rao M. Kotamarti grad student 2010 SMU
Maya El Dayeh grad student 2012 SMU

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Publications

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Kotamarti RM, Hahsler M, Raiford D, et al. (2015) Analyzing taxonomic classification using extensible Markov models Bioinformatics. 27: 2235-2241
Kotamarti RM, Thornton MA, Dunham MH. (2013) Quantum computing approach for alignment-free sequence search and classification Bioinformatics: Concepts, Methodologies, Tools, and Applications. 3: 1705-1727
Kotamarti RM, Thornton MA, Dunham MH. (2012) Quantum computing approach for alignment-free sequence search and classification Multidisciplinary Computational Intelligence Techniques: Applications in Business, Engineering, and Medicine. 279-300
Dunham MH, Hahsler M, Spiliopoulou M. (2011) Novel data stream pattern mining report on the StreamKDD'10 workshop Acm Sigkdd Explorations Newsletter. 12: 54-55
Kotamarti RM, Hahsler M, Raiford D, et al. (2010) Analyzing taxonomic classification using extensible Markov models. Bioinformatics (Oxford, England). 26: 2235-41
Hahsler M, Dunham MH. (2010) rEMM: Extensible Markov model for data stream clustering in R Journal of Statistical Software. 35: 1-31
Kotamarti RM, Hahsler M, Raiford DW, et al. (2010) Sequence transformation to a complex signature form for consistent phylogenetic tree using Extensible Markov Model 2010 Ieee Symposium On Computational Intelligence in Bioinformatics and Computational Biology, Cibcb 2010. 61-68
Kotamarti RM, Dunham MH. (2010) Alignment-free sequence analysis using extensible Markov models Proceedings of the Acm Sigkdd International Conference On Knowledge Discovery and Data Mining. 101-108
Kotamarti RM, Raiford DW, Raymer ML, et al. (2009) A data mining approach to predicting phylum for microbial organisms using genome-wide sequence data Proceedings of the 2009 9th Ieee International Conference On Bioinformatics and Bioengineering, Bibe 2009. 161-167
Meng Y, Dunham MH. (2006) Mining developing trends of dynamic spatiotemporal data streams Journal of Computers. 1: 43-50
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