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Understanding Data Mining: Extracting, Organizing, and Analyzing Large Sets of Data

About the Author

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» Dail Midgette (dmidgette@wcpss.net) has been teaching high school math since January 2003. She taught courses ranging from Algebra I to Pre-Calculus at Pasquotank County High School in Elizabeth City, NC before moving to Raleigh in 2006. Since then, she has been teaching Algebra I, Honors Geometry, and AP Calculus at Millbrook High School, where she is a mentor teacher and freshman class advisor. She received her B.S. in Mathematics Education from North Carolina State University (2002) and her M.S. in Mathematics, with thesis, from Elizabeth City State University (2006). In addition to being a Kenan Fellow, Mrs. Midgette is a National Board Certified Teacher, an online teacher for the North Carolina Virtual Public School, and an adjunct instructor at Wake Technical Community College. In her free time, Mrs. Midgette enjoys traveling with her husband, visiting family, and spoiling her two cats.

Mentor Bios

Hao Zhang portrait

Dr. Hao (Helen) Zhang (hzhang2@stat.ncsu.edu) is an associate professor in the Department of Statistics at North Carolina State University. Dr. Zhang received her Ph.D. in Statistics from the Department of Statistics at the University of Wisconsin at Madison in 2002 under the direction of Grace Wahba. Her research interests include nonparametric smoothing, model selection, machine learning, and bioinformatics. Recently she also works on problems involved longitudinal and survival data. Dr. Zhang obtained her B.S. degree in Mathematics from Beijing University in 1996.

Yufeng Liu portrait

Dr. Yufeng Liu (yfliu@email.unc.edu) is an associate professor in the Department of Statistics and Operations Research at the University of North Carolina at Chapel Hill. Dr. Liu received his Ph.D. (2004) and M.S. (2001) from The Ohio State University, and his B.S. (1999) from Nankai University. His research interests include statistical machine learning, data mining, highdimensional data analysis, nonparametric studies and functional estimation, bioinformatics, and the design and analysis of experiments.